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DBMS > Datomic vs. EventStoreDB vs. Warp 10

System Properties Comparison Datomic vs. EventStoreDB vs. Warp 10

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIndustrial-strength, open-source database solution built from the ground up for event sourcing.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSEvent StoreTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.07
Rank#181  Overall
#1  Event Stores
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitewww.datomic.comwww.eventstore.comwww.warp10.io
Technical documentationdocs.datomic.comdevelopers.eventstore.comwww.warp10.io/­content/­02_Getting_started
DeveloperCognitectEvent Store LimitedSenX
Initial release201220122015
Current release1.0.7180, July 202421.2, February 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesno
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesClojure
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoWarpScript
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
DatomicEventStoreDBWarp 10
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