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DBMS > Kinetica vs. Realm vs. Riak KV vs. TerarkDB vs. TimesTen

System Properties Comparison Kinetica vs. Realm vs. Riak KV vs. TerarkDB vs. TimesTen

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRealm  Xexclude from comparisonRiak KV  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDistributed, fault tolerant key-value storeA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.kinetica.comrealm.iogithub.com/­bytedance/­terarkdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.kinetica.comrealm.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperKineticaRealm, acquired by MongoDB in May 2019OpenSource, formerly Basho TechnologiesByteDance, originally TerarkOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20122014200920161998
Current release7.1, August 20213.2.0, December 2022Release 22.1
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache version 2, commercial enterprise editioncommercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ErlangC++
Server operating systemsLinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nonononono
Secondary indexesyesyesrestrictednoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
C++ API
Java API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresuser defined functionsno inforuns within the applications so server-side scripts are unnecessaryErlangnoPL/SQL
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoChange Listenersyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnono infolinks between data sets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infoIn-Memory realmyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelyesyes, using Riak Securitynofine grained access rights according to SQL-standard

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More resources
KineticaRealmRiak KVTerarkDBTimesTen
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