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DBMS > EventStoreDB vs. Kinetica vs. ObjectBox

System Properties Comparison EventStoreDB vs. Kinetica vs. ObjectBox

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonKinetica  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Fully vectorized database across both GPUs and CPUsExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelEvent StoreRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitewww.eventstore.comwww.kinetica.comobjectbox.io
Technical documentationdevelopers.eventstore.comdocs.kinetica.comdocs.objectbox.io
DeveloperEvent Store LimitedKineticaObjectBox Limited
Initial release201220122017
Current release21.2, February 20217.1, August 2021
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C and C++
Server operating systemsLinux
Windows
LinuxAndroid
iOS
Linux
macOS
Windows
Data schemeyesyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary native API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelyes
More information provided by the system vendor
EventStoreDBKineticaObjectBox
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EventStoreDBKineticaObjectBox
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