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DBMS > Datomic vs. Kinetica vs. VelocityDB

System Properties Comparison Datomic vs. Kinetica vs. VelocityDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKinetica  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFully vectorized database across both GPUs and CPUsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#140  Overall
#66  Relational DBMS
Score0.88
Rank#238  Overall
#111  Relational DBMS
Score0.12
Rank#377  Overall
#35  Graph DBMS
#19  Object oriented DBMS
Websitewww.datomic.comwww.kinetica.comvelocitydb.com
Technical documentationdocs.datomic.comdocs.kinetica.comvelocitydb.com/­UserGuide
DeveloperCognitectKineticaVelocityDB Inc
Initial release201220122011
Current release1.0.6735, June 20237.1, August 20217.x
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC, C++C#
Server operating systemsAll OS with a Java VMLinuxAny that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
.Net
Supported programming languagesClojure
Java
C++
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsno
TriggersBy using transaction functionsyes infotriggers when inserted values for one or more columns fall within a specified rangeCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelBased on Windows Authentication

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More resources
DatomicKineticaVelocityDB
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