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* WIP: Rework content about Editions, handling ArangoGraph special cases
* Remove EE + ArangoGraph tags
* Fix link
* Reword isSatellite graph property
* Rework feature list and text about editions
* Remove Enterprise Edition only remarks
* Fix anchor links
* Undo one anchor link fix
* Fix links to ArangoDB Editions
* Rename feature list to core
Avoids redundant use of "feature" and anticipates the addition of a DSS features page
* Fix link
* Rework license application instructions
* Remove more EE-only remarks
* Describe server behavior when exceeding dataset size limit
* Release notes about added features in CE
* Deprecations: More specific version numbers
* Remove more EE remarks, adjust mentions of CE, remove CE->EE migration page from v3.13
* Add CE remark and fix link
* Clean up and update license management examples
* Anastasia's suggestion
* ArangoGraphML: Remove reference to "Enterprise"
* Update license API
* 100 GB -> 100 GiB (107,374,182,400 bytes)
* Anastasia's feedback
excluding the source code of the formerly exclusive Enterprise Edition features.
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Copying, modification, redistribution, non-commercial use, and commercial use in
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a non-production context are always allowed. Additionally, you can deploy
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BUSL-licensed ArangoDB source code for any purpose (including production) as
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long as you are not creating a commercial derivative work or offering, or are
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including it in a commercial product, application, or service. On the fourth
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anniversary of the first publicly available distribution of a specific version,
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the license changes to the permissive Apache 2.0 open-source license.
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### Enterprise Edition
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ArangoDB is also available in a commercial version, called the
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**Enterprise Edition**. It includes additional features for performance and
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security, such as for scaling graphs and managing your data safely.
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- Includes all Community Edition features
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- Performance options to smartly shard and replicate graphs and datasets for
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optimal data locality
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- Multi-tenant deployment option for the transactional guarantees and
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performance of a single server
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- Enhanced data security with on-disk and backup encryption, key rotation,
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and audit logging
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- Incremental backups without downtime and off-site replication
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See all [Enterprise Edition Features](enterprise-edition.md).
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### Differences between the Editions
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| Community Edition | Enterprise Edition |
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|-------------------|--------------------|
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| ArangoDB Community License for prepackaged binaries and Docker images, BUSL-1.1 for the source code | Commercial License |
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| Sharding using consistent hashing on the default or custom shard keys | In addition, **smart sharding** for improved data locality |
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| Only hash-based graph sharding |**SmartGraphs** to intelligently shard large graph datasets and **EnterpriseGraphs** with an automatic sharding key selection |
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| Only regular collection replication without data locality optimizations |**SatelliteCollections** to replicate collections on all cluster nodes and data locality optimizations for queries |
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| No optimizations when querying sharded graphs and replicated collections together |**SmartGraphs using SatelliteCollections** to enable more local execution of graph queries |
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| Only regular graph replication without local execution optimizations |**SatelliteGraphs** to execute graph traversals locally on a cluster node |
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| Collections can be sharded alike but joins do not utilize co-location |**SmartJoins** for co-located joins in a cluster using identically sharded collections |
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| Graph traversals without parallel execution |**Parallel execution of traversal queries** with many start vertices |
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| Graph traversals always load full documents |**Traversal projections** optimize the data loading of AQL traversal queries if only a few document attributes are accessed |
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| Inverted indexes and Views without support for search highlighting and nested search |**Search highlighting** for getting the substring positions of matches and **nested search** for matching arrays with all the conditions met by a single object |
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| Only standard Jaccard index calculation | **Jaccard similarity approximation** with MinHash for entity resolution, such as for finding duplicate records, based on how many common elements they have |{{% comment %}} Experimental feature
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| No fastText model support | Classification of text tokens and finding similar tokens using supervised **fastText word embedding models**|
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{{% /comment %}}
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| Only regular cluster deployments |**OneShard** deployment option to store all collections of a database on a single cluster node, to combine the performance of a single server and ACID semantics with a fault-tolerant cluster setup |
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| ACID transactions for multi-document / multi-collection queries on single servers, for single document operations in clusters, and for multi-document queries in clusters for collections with a single shard | In addition, ACID transactions for multi-collection queries using the OneShard feature |
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| Always read from leader shards in clusters | Optionally allow dirty reads to **read from followers** to scale reads |
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| TLS key and certificate rotation | In addition, **key rotation for JWT secrets** and **server name indication** (SNI) |
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| Only server logs |**Audit log** of server interactions |
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| No on-disk encryption |**Encryption at Rest** with hardware-accelerated on-disk encryption and key rotation |
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| Only unencrypted backups and basic data masking for backups |**Hot Backups**, **encrypted backups**, and **enhanced data masking** for backups |
Match arrays of objects with all the conditions met by a single sub-object,
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and define for how many of the elements this must be true.
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{{% comment %}} Experimental feature
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-**[`classification`](../../index-and-search/analyzers.md#classification) and [`nearest_neighbors` Analyzers](../../index-and-search/analyzers.md#nearest_neighbors)**:
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Classification of text tokens and finding similar tokens using supervised
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