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DBMS > Kinetica vs. RethinkDB vs. TerarkDB vs. Vitess

System Properties Comparison Kinetica vs. RethinkDB vs. TerarkDB vs. Vitess

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRethinkDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsDBMS for the Web with a mechanism to push updated query results to applications in realtime.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.kinetica.comrethinkdb.comgithub.com/­bytedance/­terarkdbvitess.io
Technical documentationdocs.kinetica.comrethinkdb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvitess.io/­docs
DeveloperKineticaThe Linux Foundation infosince July 2017ByteDance, originally TerarkThe Linux Foundation, PlanetScale
Initial release2012200920162013
Current release7.1, August 20212.4.1, August 202015.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial inforestricted open source version availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++Go
Server operating systemsLinuxLinux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometrynoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoyes infoproprietary syntax
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeClient-side triggers through changefeedsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelyes infousers and table-level permissionsnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
KineticaRethinkDBTerarkDBVitess
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