diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index a2667821..0c68a659 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -56,6 +56,8 @@ jobs:
         uses: prefix-dev/setup-pixi@194d461b21b6c5717c722ffc597fa91ed2ff29fa # v0.9.1
         with:
           environments: ${{ matrix.environment }}
+          # FIXME: Remove when `s3_server` fixture does not start a process anymore
+          post-cleanup: ${{ matrix.os != 'windows-latest' }}
       - name: Install repository
         run: pixi run -e ${{ matrix.environment }} postinstall
       - name: Run pytest
diff --git a/dataframely/_storage/delta.py b/dataframely/_storage/delta.py
index 1c3ec1cc..b76aa780 100644
--- a/dataframely/_storage/delta.py
+++ b/dataframely/_storage/delta.py
@@ -7,6 +7,7 @@
 from typing import Any
 
 import polars as pl
+from fsspec import AbstractFileSystem, url_to_fs
 
 from dataframely._compat import deltalake
 
@@ -82,7 +83,8 @@ def write_collection(
         serialized_schemas: dict[str, str],
         **kwargs: Any,
     ) -> None:
-        uri = Path(kwargs.pop("target"))
+        uri = kwargs.pop("target")
+        fs: AbstractFileSystem = url_to_fs(uri)[0]
 
         # The collection schema is serialized as part of the member parquet metadata
         kwargs["metadata"] = kwargs.get("metadata", {}) | {
@@ -93,19 +95,20 @@ def write_collection(
             self.write_frame(
                 lf.collect(),
                 serialized_schema=serialized_schemas[key],
-                target=uri / key,
+                target=fs.sep.join([uri, key]),
                 **kwargs,
             )
 
     def scan_collection(
         self, members: Iterable[str], **kwargs: Any
     ) -> tuple[dict[str, pl.LazyFrame], list[SerializedCollection | None]]:
-        uri = Path(kwargs.pop("source"))
+        uri = kwargs.pop("source")
+        fs: AbstractFileSystem = url_to_fs(uri)[0]
 
         data = {}
         collection_types = []
         for key in members:
-            member_uri = uri / key
+            member_uri = fs.sep.join([uri, key])
             if not deltalake.DeltaTable.is_deltatable(str(member_uri)):
                 continue
             table = _to_delta_table(member_uri)
diff --git a/dataframely/_storage/parquet.py b/dataframely/_storage/parquet.py
index 5b1d8b75..fecc03a7 100644
--- a/dataframely/_storage/parquet.py
+++ b/dataframely/_storage/parquet.py
@@ -2,10 +2,10 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 from collections.abc import Iterable
-from pathlib import Path
 from typing import Any
 
 import polars as pl
+from fsspec import AbstractFileSystem, url_to_fs
 
 from ._base import (
     SerializedCollection,
@@ -61,6 +61,7 @@ def read_frame(self, **kwargs: Any) -> tuple[pl.DataFrame, SerializedSchema | No
         return df, metadata
 
     # ------------------------------ Collections ---------------------------------------
+
     def sink_collection(
         self,
         dfs: dict[str, pl.LazyFrame],
@@ -68,16 +69,19 @@ def sink_collection(
         serialized_schemas: dict[str, str],
         **kwargs: Any,
     ) -> None:
-        path = Path(kwargs.pop("directory"))
+        path = str(kwargs.pop("directory"))
 
         # The collection schema is serialized as part of the member parquet metadata
         kwargs["metadata"] = kwargs.get("metadata", {}) | {
             COLLECTION_METADATA_KEY: serialized_collection
         }
 
+        fs: AbstractFileSystem = url_to_fs(path)[0]
         for key, lf in dfs.items():
             destination = (
-                path / key if "partition_by" in kwargs else path / f"{key}.parquet"
+                fs.sep.join([path, key])
+                if "partition_by" in kwargs
+                else fs.sep.join([path, f"{key}.parquet"])
             )
             self.sink_frame(
                 lf,
@@ -93,16 +97,19 @@ def write_collection(
         serialized_schemas: dict[str, str],
         **kwargs: Any,
     ) -> None:
-        path = Path(kwargs.pop("directory"))
+        path = str(kwargs.pop("directory"))
 
         # The collection schema is serialized as part of the member parquet metadata
         kwargs["metadata"] = kwargs.get("metadata", {}) | {
             COLLECTION_METADATA_KEY: serialized_collection
         }
 
+        fs: AbstractFileSystem = url_to_fs(path)[0]
         for key, lf in dfs.items():
             destination = (
-                path / key if "partition_by" in kwargs else path / f"{key}.parquet"
+                fs.sep.join([path, key])
+                if "partition_by" in kwargs
+                else fs.sep.join([path, f"{key}.parquet"])
             )
             self.write_frame(
                 lf.collect(),
@@ -114,7 +121,7 @@ def write_collection(
     def scan_collection(
         self, members: Iterable[str], **kwargs: Any
     ) -> tuple[dict[str, pl.LazyFrame], list[SerializedCollection | None]]:
-        path = Path(kwargs.pop("directory"))
+        path = str(kwargs.pop("directory"))
         return self._collection_from_parquet(
             path=path, members=members, scan=True, **kwargs
         )
@@ -122,45 +129,63 @@ def scan_collection(
     def read_collection(
         self, members: Iterable[str], **kwargs: Any
     ) -> tuple[dict[str, pl.LazyFrame], list[SerializedCollection | None]]:
-        path = Path(kwargs.pop("directory"))
+        path = str(kwargs.pop("directory"))
         return self._collection_from_parquet(
             path=path, members=members, scan=False, **kwargs
         )
 
     def _collection_from_parquet(
-        self, path: Path, members: Iterable[str], scan: bool, **kwargs: Any
+        self, path: str, members: Iterable[str], scan: bool, **kwargs: Any
     ) -> tuple[dict[str, pl.LazyFrame], list[SerializedCollection | None]]:
         # Utility method encapsulating the logic that is common
         # between lazy and eager reads
         data = {}
         collection_types = []
 
+        fs: AbstractFileSystem = url_to_fs(path)[0]
         for key in members:
-            if (source_path := self._member_source_path(path, key)) is not None:
+            if (source_path := self._member_source_path(path, fs, key)) is not None:
+                is_file = fs.isfile(source_path)
+                scan_path = source_path if is_file else fs.sep.join([source_path, ""])
                 data[key] = (
-                    pl.scan_parquet(source_path, **kwargs)
+                    pl.scan_parquet(scan_path, **kwargs)
                     if scan
-                    else pl.read_parquet(source_path, **kwargs).lazy()
+                    else pl.read_parquet(scan_path, **kwargs).lazy()
                 )
-                if source_path.is_file():
+                if is_file:
                     collection_types.append(_read_serialized_collection(source_path))
                 else:
-                    for file in source_path.glob("**/*.parquet"):
-                        collection_types.append(_read_serialized_collection(file))
+                    prefix = (
+                        ""
+                        if fs.protocol == "file"
+                        else (
+                            f"{fs.protocol}://"
+                            if isinstance(fs.protocol, str)
+                            else f"{fs.protocol[0]}://"
+                        )
+                    )
+                    for file in fs.glob(fs.sep.join([source_path, "**", "*.parquet"])):
+                        collection_types.append(
+                            _read_serialized_collection(f"{prefix}{file}")
+                        )
 
         # Backward compatibility: If the parquets do not have schema information,
         # fall back to looking for schema.json
-        if not any(collection_types) and (schema_file := path / "schema.json").exists():
-            collection_types.append(schema_file.read_text())
+        if not any(collection_types) and fs.exists(
+            schema_file := fs.sep.join([path, "schema.json"])
+        ):
+            collection_types.append(fs.read_text(schema_file))
 
         return data, collection_types
 
     @classmethod
-    def _member_source_path(cls, base_path: Path, name: str) -> Path | None:
-        if (path := base_path / name).exists() and base_path.is_dir():
+    def _member_source_path(
+        cls, base_path: str, fs: AbstractFileSystem, name: str
+    ) -> str | None:
+        if fs.exists(path := fs.sep.join([base_path, name])) and fs.isdir(base_path):
             # We assume that the member is stored as a hive-partitioned dataset
             return path
-        if (path := base_path / f"{name}.parquet").exists():
+        if fs.exists(path := fs.sep.join([base_path, f"{name}.parquet"])):
             # We assume that the member is stored as a single parquet file
             return path
         return None
@@ -229,11 +254,11 @@ def scan_failure_info(
         return lf, serialized_rules, serialized_schema
 
 
-def _read_serialized_collection(path: Path) -> SerializedCollection | None:
+def _read_serialized_collection(path: str) -> SerializedCollection | None:
     meta = pl.read_parquet_metadata(path)
     return meta.get(COLLECTION_METADATA_KEY)
 
 
-def _read_serialized_schema(path: Path) -> SerializedSchema | None:
+def _read_serialized_schema(path: str) -> SerializedSchema | None:
     meta = pl.read_parquet_metadata(path)
     return meta.get(SCHEMA_METADATA_KEY)
diff --git a/dataframely/testing/storage.py b/dataframely/testing/storage.py
index 45232ff7..9807e6cb 100644
--- a/dataframely/testing/storage.py
+++ b/dataframely/testing/storage.py
@@ -2,10 +2,10 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 from abc import ABC, abstractmethod
-from pathlib import Path
 from typing import Any, Literal, TypeVar, overload
 
 import polars as pl
+from fsspec import AbstractFileSystem, url_to_fs
 
 import dataframely as dy
 from dataframely import FailureInfo, Validation
@@ -27,27 +27,27 @@ class SchemaStorageTester(ABC):
 
     @abstractmethod
     def write_typed(
-        self, schema: type[S], df: dy.DataFrame[S], path: Path, lazy: bool
+        self, schema: type[S], df: dy.DataFrame[S], path: str, lazy: bool
     ) -> None:
         """Write a schema to the backend without recording schema information."""
 
     @abstractmethod
-    def write_untyped(self, df: pl.DataFrame, path: Path, lazy: bool) -> None:
+    def write_untyped(self, df: pl.DataFrame, path: str, lazy: bool) -> None:
         """Write a schema to the backend and record schema information."""
 
     @overload
     def read(
-        self, schema: type[S], path: Path, lazy: Literal[True], validation: Validation
+        self, schema: type[S], path: str, lazy: Literal[True], validation: Validation
     ) -> dy.LazyFrame[S]: ...
 
     @overload
     def read(
-        self, schema: type[S], path: Path, lazy: Literal[False], validation: Validation
+        self, schema: type[S], path: str, lazy: Literal[False], validation: Validation
     ) -> dy.DataFrame[S]: ...
 
     @abstractmethod
     def read(
-        self, schema: type[S], path: Path, lazy: bool, validation: Validation
+        self, schema: type[S], path: str, lazy: bool, validation: Validation
     ) -> dy.LazyFrame[S] | dy.DataFrame[S]:
         """Read from the backend, using schema information if available."""
 
@@ -55,18 +55,19 @@ def read(
 class ParquetSchemaStorageTester(SchemaStorageTester):
     """Testing interface for the parquet storage functionality of Schema."""
 
-    def _wrap_path(self, path: Path) -> Path:
-        return path / "test.parquet"
+    def _wrap_path(self, path: str) -> str:
+        fs: AbstractFileSystem = url_to_fs(path)[0]
+        return fs.sep.join([path, "test.parquet"])
 
     def write_typed(
-        self, schema: type[S], df: dy.DataFrame[S], path: Path, lazy: bool
+        self, schema: type[S], df: dy.DataFrame[S], path: str, lazy: bool
     ) -> None:
         if lazy:
             schema.sink_parquet(df.lazy(), self._wrap_path(path))
         else:
             schema.write_parquet(df, self._wrap_path(path))
 
-    def write_untyped(self, df: pl.DataFrame, path: Path, lazy: bool) -> None:
+    def write_untyped(self, df: pl.DataFrame, path: str, lazy: bool) -> None:
         if lazy:
             df.lazy().sink_parquet(self._wrap_path(path))
         else:
@@ -74,16 +75,16 @@ def write_untyped(self, df: pl.DataFrame, path: Path, lazy: bool) -> None:
 
     @overload
     def read(
-        self, schema: type[S], path: Path, lazy: Literal[True], validation: Validation
+        self, schema: type[S], path: str, lazy: Literal[True], validation: Validation
     ) -> dy.LazyFrame[S]: ...
 
     @overload
     def read(
-        self, schema: type[S], path: Path, lazy: Literal[False], validation: Validation
+        self, schema: type[S], path: str, lazy: Literal[False], validation: Validation
     ) -> dy.DataFrame[S]: ...
 
     def read(
-        self, schema: type[S], path: Path, lazy: bool, validation: Validation
+        self, schema: type[S], path: str, lazy: bool, validation: Validation
     ) -> dy.LazyFrame[S] | dy.DataFrame[S]:
         if lazy:
             return schema.scan_parquet(
@@ -97,25 +98,25 @@ class DeltaSchemaStorageTester(SchemaStorageTester):
     """Testing interface for the deltalake storage functionality of Schema."""
 
     def write_typed(
-        self, schema: type[S], df: dy.DataFrame[S], path: Path, lazy: bool
+        self, schema: type[S], df: dy.DataFrame[S], path: str, lazy: bool
     ) -> None:
         schema.write_delta(df, path)
 
-    def write_untyped(self, df: pl.DataFrame, path: Path, lazy: bool) -> None:
+    def write_untyped(self, df: pl.DataFrame, path: str, lazy: bool) -> None:
         df.write_delta(path)
 
     @overload
     def read(
-        self, schema: type[S], path: Path, lazy: Literal[True], validation: Validation
+        self, schema: type[S], path: str, lazy: Literal[True], validation: Validation
     ) -> dy.LazyFrame[S]: ...
 
     @overload
     def read(
-        self, schema: type[S], path: Path, lazy: Literal[False], validation: Validation
+        self, schema: type[S], path: str, lazy: Literal[False], validation: Validation
     ) -> dy.DataFrame[S]: ...
 
     def read(
-        self, schema: type[S], path: Path, lazy: bool, validation: Validation
+        self, schema: type[S], path: str, lazy: bool, validation: Validation
     ) -> dy.DataFrame[S] | dy.LazyFrame[S]:
         if lazy:
             return schema.scan_delta(path, validation=validation)
@@ -132,24 +133,24 @@ class CollectionStorageTester(ABC):
 
     @abstractmethod
     def write_typed(
-        self, collection: dy.Collection, path: Path, lazy: bool, **kwargs: Any
+        self, collection: dy.Collection, path: str, lazy: bool, **kwargs: Any
     ) -> None:
-        """Write a collectiob to the backend and record schema information."""
+        """Write a collection to the backend and record schema information."""
 
     @abstractmethod
     def write_untyped(
-        self, collection: dy.Collection, path: Path, lazy: bool, **kwargs: Any
+        self, collection: dy.Collection, path: str, lazy: bool, **kwargs: Any
     ) -> None:
         """Write a collection to the backend without recording schema information."""
 
     @abstractmethod
-    def read(self, collection: type[C], path: Path, lazy: bool, **kwargs: Any) -> C:
+    def read(self, collection: type[C], path: str, lazy: bool, **kwargs: Any) -> C:
         """Read from the backend, using collection information if available."""
 
 
 class ParquetCollectionStorageTester(CollectionStorageTester):
     def write_typed(
-        self, collection: dy.Collection, path: Path, lazy: bool, **kwargs: Any
+        self, collection: dy.Collection, path: str, lazy: bool, **kwargs: Any
     ) -> None:
         # Polars does not support partitioning via kwarg on sink_parquet
         if lazy:
@@ -161,22 +162,32 @@ def write_typed(
             collection.write_parquet(path, **kwargs)
 
     def write_untyped(
-        self, collection: dy.Collection, path: Path, lazy: bool, **kwargs: Any
+        self, collection: dy.Collection, path: str, lazy: bool, **kwargs: Any
     ) -> None:
         if lazy:
             collection.sink_parquet(path, **kwargs)
         else:
             collection.write_parquet(path, **kwargs)
 
-        def _delete_meta(file: Path) -> None:
+        def _delete_meta(file: str) -> None:
             """Overwrite a parquet file with the same data, but without metadata."""
             df = pl.read_parquet(file)
             df.write_parquet(file)
 
-        for file in path.rglob("*.parquet"):
-            _delete_meta(file)
+        fs: AbstractFileSystem = url_to_fs(path)[0]
+        prefix = (
+            ""
+            if fs.protocol == "file"
+            else (
+                f"{fs.protocol}://"
+                if isinstance(fs.protocol, str)
+                else f"{fs.protocol[0]}://"
+            )
+        )
+        for file in fs.glob(fs.sep.join([path, "**", "*.parquet"])):
+            _delete_meta(f"{prefix}{file}")
 
-    def read(self, collection: type[C], path: Path, lazy: bool, **kwargs: Any) -> C:
+    def read(self, collection: type[C], path: str, lazy: bool, **kwargs: Any) -> C:
         if lazy:
             return collection.scan_parquet(path, **kwargs)
         else:
@@ -185,7 +196,7 @@ def read(self, collection: type[C], path: Path, lazy: bool, **kwargs: Any) -> C:
 
 class DeltaCollectionStorageTester(CollectionStorageTester):
     def write_typed(
-        self, collection: dy.Collection, path: Path, lazy: bool, **kwargs: Any
+        self, collection: dy.Collection, path: str, lazy: bool, **kwargs: Any
     ) -> None:
         extra_kwargs = {}
         if partition_by := kwargs.pop("partition_by", None):
@@ -194,18 +205,19 @@ def write_typed(
         collection.write_delta(path, **kwargs, **extra_kwargs)
 
     def write_untyped(
-        self, collection: dy.Collection, path: Path, lazy: bool, **kwargs: Any
+        self, collection: dy.Collection, path: str, lazy: bool, **kwargs: Any
     ) -> None:
         collection.write_delta(path, **kwargs)
 
         # For each member table, write an empty commit
         # Since the metadata retrieval depends on the metadata being attached to the
         # latest commit, this will make the metadata unretrievable.
+        fs: AbstractFileSystem = url_to_fs(path)[0]
         for member, df in collection.to_dict().items():
-            table = _to_delta_table(path / member)
+            table = _to_delta_table(fs.sep.join([path, member]))
             df.head(0).collect().write_delta(table, mode="append")
 
-    def read(self, collection: type[C], path: Path, lazy: bool, **kwargs: Any) -> C:
+    def read(self, collection: type[C], path: str, lazy: bool, **kwargs: Any) -> C:
         if lazy:
             return collection.scan_delta(source=path, **kwargs)
         return collection.read_delta(source=path, **kwargs)
@@ -215,72 +227,76 @@ def read(self, collection: type[C], path: Path, lazy: bool, **kwargs: Any) -> C:
 class FailureInfoStorageTester(ABC):
     @abstractmethod
     def write_typed(
-        self, failure_info: FailureInfo, path: Path, lazy: bool, **kwargs: Any
+        self, failure_info: FailureInfo, path: str, lazy: bool, **kwargs: Any
     ) -> None: ...
 
     @abstractmethod
     def write_untyped(
-        self, failure_info: FailureInfo, path: Path, lazy: bool, **kwargs: Any
+        self, failure_info: FailureInfo, path: str, lazy: bool, **kwargs: Any
     ) -> None: ...
 
     @abstractmethod
-    def read(self, path: Path, lazy: bool, **kwargs: Any) -> FailureInfo: ...
+    def read(self, path: str, lazy: bool, **kwargs: Any) -> FailureInfo: ...
 
     @abstractmethod
-    def set_metadata(self, path: Path, metadata: dict[str, Any]) -> None: ...
+    def set_metadata(self, path: str, metadata: dict[str, Any]) -> None: ...
 
 
 class ParquetFailureInfoStorageTester(FailureInfoStorageTester):
     def write_typed(
-        self, failure_info: FailureInfo, path: Path, lazy: bool, **kwargs: Any
+        self, failure_info: FailureInfo, path: str, lazy: bool, **kwargs: Any
     ) -> None:
-        p = path / "failure.parquet"
+        fs: AbstractFileSystem = url_to_fs(path)[0]
+        p = fs.sep.join([path, "failure.parquet"])
         if lazy:
             failure_info.sink_parquet(p, **kwargs)
         else:
             failure_info.write_parquet(p, **kwargs)
 
     def write_untyped(
-        self, failure_info: FailureInfo, path: Path, lazy: bool, **kwargs: Any
+        self, failure_info: FailureInfo, path: str, lazy: bool, **kwargs: Any
     ) -> None:
-        p = path / "failure.parquet"
+        fs: AbstractFileSystem = url_to_fs(path)[0]
+        p = fs.sep.join([path, "failure.parquet"])
         if lazy:
             failure_info._lf.sink_parquet(p, **kwargs)
         else:
             failure_info._lf.collect().write_parquet(p, **kwargs)
 
-    def read(self, path: Path, lazy: bool, **kwargs: Any) -> FailureInfo:
-        p = path / "failure.parquet"
+    def read(self, path: str, lazy: bool, **kwargs: Any) -> FailureInfo:
+        fs: AbstractFileSystem = url_to_fs(path)[0]
+        p = fs.sep.join([path, "failure.parquet"])
         if lazy:
             return FailureInfo.scan_parquet(source=p, **kwargs)
         else:
             return FailureInfo.read_parquet(source=p, **kwargs)
 
-    def set_metadata(self, path: Path, metadata: dict[str, Any]) -> None:
-        p = path / "failure.parquet"
+    def set_metadata(self, path: str, metadata: dict[str, Any]) -> None:
+        fs: AbstractFileSystem = url_to_fs(path)[0]
+        p = fs.sep.join([path, "failure.parquet"])
         data = pl.read_parquet(p)
         data.write_parquet(p, metadata=metadata)
 
 
 class DeltaFailureInfoStorageTester(FailureInfoStorageTester):
     def write_typed(
-        self, failure_info: FailureInfo, path: Path, lazy: bool, **kwargs: Any
+        self, failure_info: FailureInfo, path: str, lazy: bool, **kwargs: Any
     ) -> None:
         # Ignore 'lazy' here because lazy writes are not supported for delta lake at the moment.
         failure_info.write_delta(path, **kwargs)
 
     def write_untyped(
-        self, failure_info: FailureInfo, path: Path, lazy: bool, **kwargs: Any
+        self, failure_info: FailureInfo, path: str, lazy: bool, **kwargs: Any
     ) -> None:
         failure_info._lf.collect().write_delta(path, **kwargs)
 
-    def read(self, path: Path, lazy: bool, **kwargs: Any) -> FailureInfo:
+    def read(self, path: str, lazy: bool, **kwargs: Any) -> FailureInfo:
         if lazy:
             return FailureInfo.scan_delta(source=path, **kwargs)
         else:
             return FailureInfo.read_delta(source=path, **kwargs)
 
-    def set_metadata(self, path: Path, metadata: dict[str, Any]) -> None:
+    def set_metadata(self, path: str, metadata: dict[str, Any]) -> None:
         df = pl.read_delta(path)
         df.head(0).write_delta(
             path,
diff --git a/docker-compose.yml b/docker-compose.yml
index caed1c2d..7e5960cc 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,4 +1,3 @@
-version: "3"
 services:
   mssql:
     image: mcr.microsoft.com/azure-sql-edge:latest
diff --git a/pixi.lock b/pixi.lock
index 4b2cf5ca..2b6290ce 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -11,28 +11,27 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/backports.tarfile-1.2.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.44-hdf8817f_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py313h7033f15_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py314ha160325_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_8.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.10.5-hbd8a1cb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2025.10.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf01b4d8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cmarkgfm-2024.11.20-py313h536fd9c_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312h6b01ec3_4.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/nh3-0.3.0-py310h1570de5_1.conda
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   license: MIT
   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.7-h2b335a9_100_cp313.conda
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   license: Python-2.0
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.14.0-h5989046_101_cp314.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.13.7-h23354eb_100_cp313.conda
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 - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.14.0-ha9132a3_101_cp314.conda
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+  - python 3.11.* *_cpython
+  - zstd >=1.5.7,<1.6.0a0
+  - python_abi 3.11.* *_cp311
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 390089
+  timestamp: 1757930124840
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py312h37e1c23_0.conda
+  sha256: 7b50d48e4f2d17d8a322d5896c1b0db49def163b105a078aaca4922ef7290696
+  md5: c05d2d4b438ef09c55b291e062eddf79
+  depends:
+  - python
+  - cffi >=1.11
+  - zstd >=1.5.7,<1.5.8.0a0
+  - __osx >=11.0
+  - python 3.12.* *_cpython
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.7,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 391011
+  timestamp: 1757930161367
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py313h9734d34_0.conda
   sha256: 8a1bf8a66c05f724e8a56cb1918eae70bcb467a7c5d43818e37e04d86332c513
   md5: ce17795bf104a29a2c7ed0bba7a804cb
@@ -23715,6 +27961,63 @@ packages:
   license_family: BSD
   size: 125883
   timestamp: 1757930173407
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py310h1637853_0.conda
+  sha256: 1bc80de45c577d2a80afb056a52b873f795ce3ed3d131d44a7320dd82835b8f0
+  md5: b45df16a296e7127a14dd9362103b80b
+  depends:
+  - python
+  - cffi >=1.11
+  - zstd >=1.5.7,<1.5.8.0a0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.10.* *_cp310
+  - zstd >=1.5.7,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 364179
+  timestamp: 1757930140810
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py311hf893f09_0.conda
+  sha256: 3b66d3cb738a9993e8432d1a03402d207128166c4ef0c928e712958e51aff325
+  md5: d26077d20b4bba54f4c718ed1313805f
+  depends:
+  - python
+  - cffi >=1.11
+  - zstd >=1.5.7,<1.5.8.0a0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - zstd >=1.5.7,<1.6.0a0
+  - python_abi 3.11.* *_cp311
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 375866
+  timestamp: 1757930134099
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py312he5662c2_0.conda
+  sha256: 23675fe9b8574fe93d3912d13a9855be9c7800bd34f8e944dd3d5b9b7265838d
+  md5: b14e2ff42f539a7eae7eaf03bd89ab82
+  depends:
+  - python
+  - cffi >=1.11
+  - zstd >=1.5.7,<1.5.8.0a0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.7,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 374897
+  timestamp: 1757930143303
 - conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py313h5fd188c_0.conda
   sha256: d20a163a466621e41c3d06bc5dc3040603b8b0bfa09f493e2bfc0dbd5aa6e911
   md5: edfe43bb6e955d4d9b5e7470ea92dead
diff --git a/pixi.toml b/pixi.toml
index 84c2685f..c871e53a 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -11,9 +11,9 @@ postinstall = "pip install --no-build-isolation --no-deps --disable-pip-version-
 python = ">=3.10"
 rust = "=1.85"
 
+fsspec = ">=2025.9"
 numpy = "*"
 polars = ">=1.32"
-pytest-mock = ">=3.14.1,<4"
 
 [host-dependencies]
 maturin = ">=1.7,<2"
@@ -40,6 +40,8 @@ docs = "cd docs && make html"
 readthedocs = "rm -rf $READTHEDOCS_OUTPUT/html && cp -r docs/_build/html $READTHEDOCS_OUTPUT/html"
 
 [feature.test.dependencies]
+boto3 = "*"
+moto = "*"
 mypy = ">=1.13"
 pandas = "*"
 pandas-stubs = "*"
@@ -48,8 +50,16 @@ pytest = ">=6"
 pytest-benchmark = "*"
 pytest-cov = "*"
 pytest-md = "*"
+pytest-mock = ">=3.14.1,<4"
+s3fs = ">=2025.9"
 scikit-learn = "*"
 
+[feature.test.tasks]
+test = "pytest"
+test-bench = "pytest tests/benches --benchmark-only --benchmark-sort mean --benchmark-columns min,max,mean,rounds"
+test-coverage = "pytest --cov=dataframely --cov-report=xml --cov-report=term-missing"
+test-no-optional = "pytest -m 'not with_optionals'"
+
 [feature.optionals.dependencies]
 deltalake = "*"
 pyarrow = "*"
@@ -57,12 +67,6 @@ pydantic = ">=2.11.9,<3"
 pydantic-core = ">=2.33.2,<3"
 sqlalchemy = ">=2"
 
-[feature.test.tasks]
-test = "pytest"
-test-bench = "pytest tests/benches --benchmark-only --benchmark-sort mean --benchmark-columns min,max,mean,rounds"
-test-coverage = "pytest --cov=dataframely --cov-report=xml --cov-report=term-missing"
-test-no-optional = "pytest -m 'not with_optionals'"
-
 [feature.build.dependencies]
 python-build = "*"
 setuptools-scm = "*"
diff --git a/pyproject.toml b/pyproject.toml
index f99256c6..82a4cf58 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,8 +17,9 @@ classifiers = [
   "Programming Language :: Python :: 3.14",
 ]
 dependencies = [
+  "fsspec>=2025.9",
   "numpy",
-  "polars>=1.32",
+  "polars>=1.34",
   # Conditional
   'typing-extensions; python_version <= "3.10"',
 ]
@@ -32,6 +33,7 @@ version = "0.0.0"
 deltalake = ["deltalake"]
 pyarrow = ["pyarrow"]
 pydantic = ["pydantic>=2"]
+s3 = ["s3fs>=2025.9"]
 sqlalchemy = ["sqlalchemy"]
 
 [project.urls]
@@ -90,21 +92,24 @@ warn_unused_ignores = true
 
 [[tool.mypy.overrides]]
 ignore_missing_imports = true
-module = ["pyarrow.*", "pytest_benchmark.*", "sklearn.*"]
+module = ["boto3.*", "fsspec.*", "pyarrow.*", "pytest_benchmark.*", "sklearn.*"]
 
 [tool.typos.default.extend-identifiers]
 plain_serializer_function_ser_schema = "plain_serializer_function_ser_schema"
 
 [tool.pytest.ini_options]
-addopts = "--import-mode=importlib --benchmark-skip"
+addopts = "--import-mode=importlib --benchmark-skip -m 'not s3'"
 filterwarnings = [
   # By default, all warnings should yield errors
   "error",
   # Almost all tests are oblivious to the value of `nullable`. Let's ignore the warning as long as it exists.
   "ignore:The 'nullable' argument was not explicitly set:FutureWarning",
+  # boto3 still uses .utcnow()
+  "ignore::DeprecationWarning:botocore.*:",
 ]
 markers = [
-  "with_optionals: Tests that require optional dependencies to be installed",
+  "s3: tests that run against and S3 backend",
+  "with_optionals: tests that require optional dependencies to be installed",
 ]
 testpaths = ["tests"]
 
diff --git a/tests/collection/test_storage.py b/tests/collection/test_storage.py
index 79a4f48b..f4f0cf5a 100644
--- a/tests/collection/test_storage.py
+++ b/tests/collection/test_storage.py
@@ -2,12 +2,12 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 import warnings
-from pathlib import Path
 from typing import Any
 
 import polars as pl
 import pytest
 import pytest_mock
+from fsspec import AbstractFileSystem, url_to_fs
 from polars.testing import assert_frame_equal
 
 import dataframely as dy
@@ -59,8 +59,16 @@ class MyCollection2(dy.Collection):
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("kwargs", [{}, {"partition_by": "a"}])
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write(
-    tester: CollectionStorageTester, tmp_path: Path, kwargs: dict[str, Any], lazy: bool
+    tester: CollectionStorageTester,
+    any_tmp_path: str,
+    kwargs: dict[str, Any],
+    lazy: bool,
 ) -> None:
     # Arrange
     collection = MyCollection.validate(
@@ -72,10 +80,10 @@ def test_read_write(
     )
 
     # Act
-    tester.write_typed(collection, tmp_path, lazy=lazy, **kwargs)
+    tester.write_typed(collection, any_tmp_path, lazy=lazy, **kwargs)
 
     # Assert
-    out = tester.read(MyCollection, tmp_path, lazy)
+    out = tester.read(MyCollection, any_tmp_path, lazy)
     assert_frame_equal(collection.first, out.first)
     assert collection.second is not None
     assert out.second is not None
@@ -85,8 +93,16 @@ def test_read_write(
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("kwargs", [{}, {"partition_by": "a"}])
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_optional(
-    tester: CollectionStorageTester, tmp_path: Path, kwargs: dict[str, Any], lazy: bool
+    tester: CollectionStorageTester,
+    any_tmp_path: str,
+    kwargs: dict[str, Any],
+    lazy: bool,
 ) -> None:
     # Arrange
     collection = MyCollection.validate(
@@ -95,10 +111,10 @@ def test_read_write_optional(
 
     # Act
     write_lazy = lazy and "partition_by" not in kwargs
-    tester.write_typed(collection, tmp_path, lazy=write_lazy, **kwargs)
+    tester.write_typed(collection, any_tmp_path, lazy=write_lazy, **kwargs)
 
     # Assert
-    out = tester.read(MyCollection, tmp_path, lazy)
+    out = tester.read(MyCollection, any_tmp_path, lazy)
     assert_frame_equal(collection.first, out.first)
     assert collection.second is None
     assert out.second is None
@@ -110,20 +126,25 @@ def test_read_write_optional(
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("validation", ["warn", "allow", "forbid", "skip"])
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_if_schema_matches(
     tester: CollectionStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
     validation: Any,
     lazy: bool,
 ) -> None:
     # Arrange
     collection = MyCollection.create_empty()
-    tester.write_typed(collection, tmp_path, lazy=lazy)
+    tester.write_typed(collection, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(MyCollection, "validate")
-    tester.read(MyCollection, tmp_path, lazy=lazy, validation=validation)
+    tester.read(MyCollection, any_tmp_path, lazy=lazy, validation=validation)
 
     # Assert
     spy.assert_not_called()
@@ -134,15 +155,20 @@ def test_read_write_if_schema_matches(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_validation_warn_no_schema(
     tester: CollectionStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
     lazy: bool,
 ) -> None:
     # Arrange
     collection = MyCollection.create_empty()
-    tester.write_untyped(collection, tmp_path, lazy=lazy)
+    tester.write_untyped(collection, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(MyCollection, "validate")
@@ -150,7 +176,7 @@ def test_read_write_validation_warn_no_schema(
         UserWarning,
         match=r"requires validation: no collection schema to check validity",
     ):
-        tester.read(MyCollection, tmp_path, lazy, validation="warn")
+        tester.read(MyCollection, any_tmp_path, lazy, validation="warn")
 
     # Assert
     spy.assert_called_once()
@@ -158,15 +184,20 @@ def test_read_write_validation_warn_no_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_validation_warn_invalid_schema(
     tester: CollectionStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
     lazy: bool,
 ) -> None:
     # Arrange
     collection = MyCollection.create_empty()
-    tester.write_typed(collection, tmp_path, lazy=lazy)
+    tester.write_typed(collection, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(MyCollection2, "validate")
@@ -174,7 +205,7 @@ def test_read_write_validation_warn_invalid_schema(
         UserWarning,
         match=r"requires validation: current collection schema does not match",
     ):
-        tester.read(MyCollection2, tmp_path, lazy)
+        tester.read(MyCollection2, any_tmp_path, lazy)
 
     # Assert
     spy.assert_called_once()
@@ -183,19 +214,24 @@ def test_read_write_validation_warn_invalid_schema(
 # -------------------------------- VALIDATION "ALLOW" -------------------------------- #
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_validation_allow_no_schema(
     tester: CollectionStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
     lazy: bool,
 ) -> None:
     # Arrange
     collection = MyCollection.create_empty()
-    tester.write_untyped(collection, tmp_path, lazy=lazy)
+    tester.write_untyped(collection, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(MyCollection, "validate")
-    tester.read(MyCollection, tmp_path, lazy, validation="allow")
+    tester.read(MyCollection, any_tmp_path, lazy, validation="allow")
 
     # Assert
     spy.assert_called_once()
@@ -203,19 +239,24 @@ def test_read_write_validation_allow_no_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_validation_allow_invalid_schema(
     tester: CollectionStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
     lazy: bool,
 ) -> None:
     # Arrange
     collection = MyCollection.create_empty()
-    tester.write_typed(collection, tmp_path, lazy=lazy)
+    tester.write_typed(collection, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(MyCollection2, "validate")
-    tester.read(MyCollection2, tmp_path, lazy, validation="allow")
+    tester.read(MyCollection2, any_tmp_path, lazy, validation="allow")
 
     # Assert
     spy.assert_called_once()
@@ -226,38 +267,48 @@ def test_read_write_validation_allow_invalid_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_validation_forbid_no_schema(
-    tester: CollectionStorageTester, tmp_path: Path, lazy: bool
+    tester: CollectionStorageTester, any_tmp_path: str, lazy: bool
 ) -> None:
     # Arrange
     collection = MyCollection.create_empty()
-    tester.write_untyped(collection, tmp_path, lazy=lazy)
+    tester.write_untyped(collection, any_tmp_path, lazy=lazy)
 
     # Act
     with pytest.raises(
         ValidationRequiredError,
         match=r"without validation: no collection schema to check validity",
     ):
-        tester.read(MyCollection, tmp_path, lazy, validation="forbid")
+        tester.read(MyCollection, any_tmp_path, lazy, validation="forbid")
 
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_validation_forbid_invalid_schema(
-    tester: CollectionStorageTester, tmp_path: Path, lazy: bool
+    tester: CollectionStorageTester, any_tmp_path: str, lazy: bool
 ) -> None:
     # Arrange
 
     collection = MyCollection.create_empty()
 
-    tester.write_typed(collection, tmp_path, lazy=lazy)
+    tester.write_typed(collection, any_tmp_path, lazy=lazy)
 
     # Act
     with pytest.raises(
         ValidationRequiredError,
         match=r"without validation: current collection schema does not match",
     ):
-        tester.read(MyCollection2, tmp_path, lazy, validation="forbid")
+        tester.read(MyCollection2, any_tmp_path, lazy, validation="forbid")
 
 
 # --------------------------------- VALIDATION "SKIP" -------------------------------- #
@@ -265,19 +316,24 @@ def test_read_write_validation_forbid_invalid_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_validation_skip_no_schema(
     tester: CollectionStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
     lazy: bool,
 ) -> None:
     # Arrange
     collection = MyCollection.create_empty()
-    tester.write_untyped(collection, tmp_path, lazy=lazy)
+    tester.write_untyped(collection, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(MyCollection, "validate")
-    tester.read(MyCollection, tmp_path, lazy, validation="skip")
+    tester.read(MyCollection, any_tmp_path, lazy, validation="skip")
 
     # Assert
     spy.assert_not_called()
@@ -285,19 +341,24 @@ def test_read_write_validation_skip_no_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_validation_skip_invalid_schema(
     tester: CollectionStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
     lazy: bool,
 ) -> None:
     # Arrange
     collection = MyCollection.create_empty()
-    tester.write_typed(collection, tmp_path, lazy=lazy)
+    tester.write_typed(collection, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(collection, "validate")
-    tester.read(MyCollection2, tmp_path, lazy, validation="skip")
+    tester.read(MyCollection2, any_tmp_path, lazy, validation="skip")
 
     # Assert
     spy.assert_not_called()
@@ -331,8 +392,13 @@ def test_reconcile_collection_types(
 
 @pytest.mark.parametrize("validation", ["warn", "allow", "forbid", "skip"])
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_parquet_fallback_schema_json_success(
-    tmp_path: Path, mocker: pytest_mock.MockerFixture, validation: Any, lazy: bool
+    any_tmp_path: str, mocker: pytest_mock.MockerFixture, validation: Any, lazy: bool
 ) -> None:
     # In https://github.com/Quantco/dataframely/pull/107, the
     # mechanism for storing collection metadata was changed.
@@ -345,12 +411,15 @@ def test_read_write_parquet_fallback_schema_json_success(
     # Arrange
     tester = ParquetCollectionStorageTester()
     collection = MyCollection.create_empty()
-    tester.write_untyped(collection, tmp_path, lazy)
-    (tmp_path / "schema.json").write_text(collection.serialize())
+    tester.write_untyped(collection, any_tmp_path, lazy)
+
+    fs: AbstractFileSystem = url_to_fs(any_tmp_path)[0]
+    with fs.open(fs.sep.join([any_tmp_path, "schema.json"]), "w") as f:
+        f.write(collection.serialize())
 
     # Act
     spy = mocker.spy(MyCollection, "validate")
-    tester.read(MyCollection, tmp_path, lazy, validation=validation)
+    tester.read(MyCollection, any_tmp_path, lazy, validation=validation)
 
     # Assert
     spy.assert_not_called()
@@ -358,40 +427,56 @@ def test_read_write_parquet_fallback_schema_json_success(
 
 @pytest.mark.parametrize("validation", ["allow", "warn"])
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_parquet_schema_json_fallback_corrupt(
-    tmp_path: Path, mocker: pytest_mock.MockerFixture, validation: Any, lazy: bool
+    any_tmp_path: str, mocker: pytest_mock.MockerFixture, validation: Any, lazy: bool
 ) -> None:
     """If the schema.json file is present, but corrupt, we should always fall back to
     validating."""
     # Arrange
     collection = MyCollection.create_empty()
     tester = ParquetCollectionStorageTester()
-    tester.write_untyped(collection, tmp_path, lazy)
-    (tmp_path / "schema.json").write_text("} this is not a valid JSON {")
+    tester.write_untyped(collection, any_tmp_path, lazy)
+
+    fs: AbstractFileSystem = url_to_fs(any_tmp_path)[0]
+    with fs.open(fs.sep.join([any_tmp_path, "schema.json"]), "w") as f:
+        f.write("} this is not a valid JSON {")
 
     # Act
     spy = mocker.spy(MyCollection, "validate")
     with warnings.catch_warnings():
         warnings.simplefilter("ignore", category=UserWarning)
-        tester.read(MyCollection, tmp_path, lazy, validation=validation)
+        tester.read(MyCollection, any_tmp_path, lazy, validation=validation)
 
     # Assert
     spy.assert_called_once()
 
 
 @pytest.mark.parametrize("metadata", [None, {COLLECTION_METADATA_KEY: "invalid"}])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_invalid_parquet_metadata_collection(
-    tmp_path: Path, metadata: dict | None
+    any_tmp_path: str, metadata: dict | None
 ) -> None:
     # Arrange
     df = pl.DataFrame({"a": [1, 2, 3]})
+    fs: AbstractFileSystem = url_to_fs(any_tmp_path)[0]
     df.write_parquet(
-        tmp_path / "df.parquet",
+        fs.sep.join([any_tmp_path, "df.parquet"]),
         metadata=metadata,
     )
 
     # Act
-    collection = dy.read_parquet_metadata_collection(tmp_path / "df.parquet")
+    collection = dy.read_parquet_metadata_collection(
+        fs.sep.join([any_tmp_path, "df.parquet"])
+    )
 
     # Assert
     assert collection is None
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 00000000..e2f23b94
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,49 @@
+# Copyright (c) QuantCo 2025-2025
+# SPDX-License-Identifier: BSD-3-Clause
+
+import subprocess
+import uuid
+from collections.abc import Iterator
+
+import boto3
+import pytest
+
+
+@pytest.fixture(scope="session")
+def s3_server() -> Iterator[str]:
+    # FIXME: Replace with the commented-out code below once
+    #  https://github.com/pola-rs/polars/pull/24922 is released.
+    process = subprocess.Popen(["moto_server", "--port", "9999"])
+    yield "http://localhost:9999"
+    process.terminate()
+    process.wait()
+
+    # server = ThreadedMotoServer(port=0)
+    # server.start()
+    # host, port = server.get_host_and_port()
+    # yield f"http://{host}:{port}"
+    # server.stop()
+
+
+@pytest.fixture(scope="session")
+def s3_bucket(s3_server: str) -> str:
+    client = boto3.client(
+        "s3", endpoint_url=s3_server, aws_access_key_id="", aws_secret_access_key=""
+    )
+    client.create_bucket(Bucket="test")
+    return "s3://test"
+
+
+@pytest.fixture()
+def s3_tmp_path(s3_server: str, s3_bucket: str, monkeypatch: pytest.MonkeyPatch) -> str:
+    monkeypatch.setenv("AWS_ENDPOINT_URL", s3_server)
+    monkeypatch.setenv("AWS_ACCESS_KEY_ID", "testing")
+    monkeypatch.setenv("AWS_SECRET_ACCESS_KEY", "testing")
+    monkeypatch.setenv("AWS_ALLOW_HTTP", "true")
+    monkeypatch.setenv("AWS_S3_ALLOW_UNSAFE_RENAME", "true")
+    return f"{s3_bucket}/{str(uuid.uuid4())}"
+
+
+@pytest.fixture()
+def any_tmp_path(request: pytest.FixtureRequest) -> str:
+    return str(request.getfixturevalue(request.param))
diff --git a/tests/failure_info/test_storage.py b/tests/failure_info/test_storage.py
index 7b9dc231..da17d111 100644
--- a/tests/failure_info/test_storage.py
+++ b/tests/failure_info/test_storage.py
@@ -1,10 +1,9 @@
 # Copyright (c) QuantCo 2025-2025
 # SPDX-License-Identifier: BSD-3-Clause
 
-from pathlib import Path
-
 import polars as pl
 import pytest
+from fsspec import AbstractFileSystem, url_to_fs
 from polars.testing import assert_frame_equal
 
 import dataframely as dy
@@ -34,8 +33,13 @@ class MySchema(dy.Schema):
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write(
-    tester: FailureInfoStorageTester, tmp_path: Path, lazy: bool
+    tester: FailureInfoStorageTester, any_tmp_path: str, lazy: bool
 ) -> None:
     # Arrange
     df = pl.DataFrame(
@@ -48,8 +52,8 @@ def test_read_write(
     assert failure._df.height == 4
 
     # Act
-    tester.write_typed(failure, tmp_path, lazy=lazy)
-    read = tester.read(tmp_path, lazy=lazy)
+    tester.write_typed(failure, any_tmp_path, lazy=lazy)
+    read = tester.read(any_tmp_path, lazy=lazy)
 
     # Assert
     assert_frame_equal(failure._lf, read._lf)
@@ -60,8 +64,13 @@ def test_read_write(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_missing_metadata(
-    tester: FailureInfoStorageTester, tmp_path: Path, lazy: bool
+    tester: FailureInfoStorageTester, any_tmp_path: str, lazy: bool
 ) -> None:
     # Arrange
     df = pl.DataFrame(
@@ -72,19 +81,24 @@ def test_read_write_missing_metadata(
     )
     _, failure = MySchema.filter(df)
     assert failure._df.height == 4
-    tester.write_untyped(failure, tmp_path, lazy=lazy)
+    tester.write_untyped(failure, any_tmp_path, lazy=lazy)
 
     # Act / Assert
     with pytest.raises(
         ValueError, match=r"required FailureInfo metadata was not found"
     ):
-        tester.read(tmp_path, lazy=lazy)
+        tester.read(any_tmp_path, lazy=lazy)
 
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_invalid_schema_deserialization(
-    tester: FailureInfoStorageTester, tmp_path: Path, lazy: bool
+    tester: FailureInfoStorageTester, any_tmp_path: str, lazy: bool
 ) -> None:
     # Arrange
     df = pl.DataFrame(
@@ -95,9 +109,9 @@ def test_invalid_schema_deserialization(
     )
     _, failure = MySchema.filter(df)
     assert failure._df.height == 4
-    tester.write_untyped(failure, tmp_path, lazy=lazy)
+    tester.write_untyped(failure, any_tmp_path, lazy=lazy)
     tester.set_metadata(
-        tmp_path,
+        any_tmp_path,
         metadata={
             SCHEMA_METADATA_KEY: "{WRONG",
             RULE_METADATA_KEY: '["b"]',
@@ -105,14 +119,21 @@ def test_invalid_schema_deserialization(
     )
 
     # Act
-    read = tester.read(tmp_path, lazy=lazy)
+    read = tester.read(any_tmp_path, lazy=lazy)
 
     # Assert
     assert read.schema.__name__ == UNKNOWN_SCHEMA_NAME
 
 
 # ------------------------------------ Parquet -----------------------------------------
-def test_write_parquet_custom_metadata(tmp_path: Path) -> None:
+
+
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
+def test_write_parquet_custom_metadata(any_tmp_path: str) -> None:
     # Arrange
     df = pl.DataFrame(
         {
@@ -124,7 +145,8 @@ def test_write_parquet_custom_metadata(tmp_path: Path) -> None:
     assert failure._df.height == 4
 
     # Act
-    p = tmp_path / "failure.parquet"
+    fs: AbstractFileSystem = url_to_fs(any_tmp_path)[0]
+    p = fs.sep.join([any_tmp_path, "failure.parquet"])
     failure.write_parquet(p, metadata={"custom": "test"})
 
     # Assert
diff --git a/tests/schema/test_storage.py b/tests/schema/test_storage.py
index 2ece03e0..c102f43d 100644
--- a/tests/schema/test_storage.py
+++ b/tests/schema/test_storage.py
@@ -1,7 +1,6 @@
 # Copyright (c) QuantCo 2025-2025
 # SPDX-License-Identifier: BSD-3-Clause
 
-from pathlib import Path
 from typing import Literal, TypeVar, get_args
 
 import polars as pl
@@ -37,9 +36,14 @@
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("validation", get_args(Validation))
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_if_schema_matches(
     tester: SchemaStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
     validation: Validation,
     lazy: Literal[True] | Literal[False],
@@ -47,11 +51,13 @@ def test_read_write_if_schema_matches(
     # Arrange
     schema = create_schema("test", {"a": dy.Int64(), "b": dy.String()})
     df = schema.create_empty()
-    tester.write_typed(schema, df, tmp_path, lazy=lazy)
+    tester.write_typed(schema, df, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(schema, "validate")
-    out = tester.read(schema=schema, path=tmp_path, lazy=lazy, validation=validation)
+    out = tester.read(
+        schema=schema, path=any_tmp_path, lazy=lazy, validation=validation
+    )
 
     # Assert
     spy.assert_not_called()
@@ -59,25 +65,32 @@ def test_read_write_if_schema_matches(
 
 
 # --------------------------------- VALIDATION "WARN" -------------------------------- #
+
+
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_validation_warn_no_schema(
     tester: SchemaStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
-    lazy: Literal[True | False],
+    lazy: Literal[True, False],
 ) -> None:
     # Arrange
     schema = create_schema("test", {"a": dy.Int64(), "b": dy.String()})
     df = schema.create_empty()
-    tester.write_untyped(df, tmp_path, lazy)
+    tester.write_untyped(df, any_tmp_path, lazy)
 
     # Act
     spy = mocker.spy(schema, "validate")
     with pytest.warns(
         UserWarning, match=r"requires validation: no schema to check validity"
     ):
-        out = tester.read(schema, tmp_path, lazy, validation="warn")
+        out = tester.read(schema, any_tmp_path, lazy, validation="warn")
 
     # Assert
     spy.assert_called_once()
@@ -86,24 +99,29 @@ def test_read_write_validation_warn_no_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_parquet_validation_warn_invalid_schema(
     tester: SchemaStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
-    lazy: Literal[True | False],
+    lazy: Literal[True, False],
 ) -> None:
     # Arrange
     right = create_schema("test", {"a": dy.Int64(), "b": dy.String()})
     wrong = create_schema("wrong", {"x": dy.Int64(), "y": dy.String()})
     df = right.create_empty()
-    tester.write_typed(wrong, df, tmp_path, lazy=lazy)
+    tester.write_typed(wrong, df, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(right, "validate")
     with pytest.warns(
         UserWarning, match=r"requires validation: current schema does not match"
     ):
-        out = tester.read(right, tmp_path, lazy, validation="warn")
+        out = tester.read(right, any_tmp_path, lazy, validation="warn")
 
     # Assert
     spy.assert_called_once()
@@ -115,20 +133,25 @@ def test_read_write_parquet_validation_warn_invalid_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_parquet_validation_allow_no_schema(
     tester: SchemaStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
-    lazy: Literal[True | False],
+    lazy: Literal[True, False],
 ) -> None:
     # Arrange
     schema = create_schema("test", {"a": dy.Int64(), "b": dy.String()})
     df = schema.create_empty()
-    tester.write_untyped(df, tmp_path, lazy)
+    tester.write_untyped(df, any_tmp_path, lazy)
 
     # Act
     spy = mocker.spy(schema, "validate")
-    out = tester.read(schema, tmp_path, lazy, validation="allow")
+    out = tester.read(schema, any_tmp_path, lazy, validation="allow")
 
     # Assert
     spy.assert_called_once()
@@ -137,21 +160,26 @@ def test_read_write_parquet_validation_allow_no_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_parquet_validation_allow_invalid_schema(
     tester: SchemaStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
-    lazy: Literal[True | False],
+    lazy: Literal[True, False],
 ) -> None:
     # Arrange
     right = create_schema("test", {"a": dy.Int64(), "b": dy.String()})
     wrong = create_schema("wrong", {"x": dy.Int64(), "y": dy.String()})
     df = right.create_empty()
-    tester.write_typed(wrong, df, tmp_path, lazy=lazy)
+    tester.write_typed(wrong, df, any_tmp_path, lazy=lazy)
 
     # Act
     spy = mocker.spy(right, "validate")
-    out = tester.read(right, tmp_path, lazy, validation="allow")
+    out = tester.read(right, any_tmp_path, lazy, validation="allow")
 
     # Assert
     spy.assert_called_once()
@@ -160,39 +188,49 @@ def test_read_write_parquet_validation_allow_invalid_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_parquet_validation_forbid_no_schema(
-    tester: SchemaStorageTester, tmp_path: Path, lazy: Literal[True | False]
+    tester: SchemaStorageTester, any_tmp_path: str, lazy: Literal[True, False]
 ) -> None:
     # Arrange
     schema = create_schema("test", {"a": dy.Int64()})
     df = schema.create_empty()
-    tester.write_untyped(df, tmp_path, lazy)
+    tester.write_untyped(df, any_tmp_path, lazy)
 
     # Act
     with pytest.raises(
         ValidationRequiredError,
         match=r"without validation: no schema to check validity",
     ):
-        tester.read(schema, tmp_path, lazy, validation="forbid")
+        tester.read(schema, any_tmp_path, lazy, validation="forbid")
 
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_parquet_validation_forbid_invalid_schema(
-    tester: SchemaStorageTester, tmp_path: Path, lazy: Literal[True | False]
+    tester: SchemaStorageTester, any_tmp_path: str, lazy: Literal[True, False]
 ) -> None:
     # Arrange
     right = create_schema("test", {"a": dy.Int64(), "b": dy.String()})
     wrong = create_schema("wrong", {"x": dy.Int64(), "y": dy.String()})
     df = right.create_empty()
-    tester.write_typed(wrong, df, tmp_path, lazy=lazy)
+    tester.write_typed(wrong, df, any_tmp_path, lazy=lazy)
 
     # Act / Assert
     with pytest.raises(
         ValidationRequiredError,
         match=r"without validation: current schema does not match",
     ):
-        tester.read(right, tmp_path, lazy, validation="forbid")
+        tester.read(right, any_tmp_path, lazy, validation="forbid")
 
 
 # --------------------------------- VALIDATION "SKIP" -------------------------------- #
@@ -200,20 +238,25 @@ def test_read_write_parquet_validation_forbid_invalid_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_parquet_validation_skip_no_schema(
     tester: SchemaStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
-    lazy: Literal[True | False],
+    lazy: Literal[True, False],
 ) -> None:
     # Arrange
     schema = create_schema("test", {"a": dy.Int64()})
     df = schema.create_empty()
-    tester.write_untyped(df, tmp_path, lazy)
+    tester.write_untyped(df, any_tmp_path, lazy)
 
     # Act
     spy = mocker.spy(schema, "validate")
-    tester.read(schema, tmp_path, lazy, validation="skip")
+    tester.read(schema, any_tmp_path, lazy, validation="skip")
 
     # Assert
     spy.assert_not_called()
@@ -221,26 +264,34 @@ def test_read_write_parquet_validation_skip_no_schema(
 
 @pytest.mark.parametrize("tester", TESTERS)
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize(
+    "any_tmp_path",
+    ["tmp_path", pytest.param("s3_tmp_path", marks=pytest.mark.s3)],
+    indirect=True,
+)
 def test_read_write_parquet_validation_skip_invalid_schema(
     tester: SchemaStorageTester,
-    tmp_path: Path,
+    any_tmp_path: str,
     mocker: pytest_mock.MockerFixture,
-    lazy: Literal[True | False],
+    lazy: Literal[True, False],
 ) -> None:
     # Arrange
     right = create_schema("test", {"a": dy.Int64(), "b": dy.String()})
     wrong = create_schema("wrong", {"x": dy.Int64(), "y": dy.String()})
     df = right.create_empty()
-    tester.write_typed(wrong, df, tmp_path, lazy=lazy)
+    tester.write_typed(wrong, df, any_tmp_path, lazy=lazy)
+
     # Act
     spy = mocker.spy(right, "validate")
-    tester.read(right, tmp_path, lazy, validation="skip")
+    tester.read(right, any_tmp_path, lazy, validation="skip")
 
     # Assert
     spy.assert_not_called()
 
 
-# ---------------------------- DELTA LAKE SPECIFICS ---------------------------------- #z
+# ---------------------------- DELTA LAKE SPECIFICS ---------------------------------- #
+
+
 def test_raise_on_lazy() -> None:
     dsb = DeltaStorageBackend()
     lf = pl.LazyFrame({"x": [1, 2, 3]})