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DBMS > Kinetica vs. OrientDB vs. RethinkDB vs. VoltDB

System Properties Comparison Kinetica vs. OrientDB vs. RethinkDB vs. VoltDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOrientDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsMulti-model DBMS (Document, Graph, Key/Value)DBMS for the Web with a mechanism to push updated query results to applications in realtime.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Document storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score2.74
Rank#105  Overall
#19  Document stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.kinetica.comorientdb.orgrethinkdb.comwww.voltdb.com
Technical documentationdocs.kinetica.comwww.orientdb.com/­docs/­last/­index.htmlrethinkdb.com/­docsdocs.voltdb.com
DeveloperKineticaOrientDB LTD; CallidusCloud; SAPThe Linux Foundation infosince July 2017VoltDB Inc.
Initial release2012201020092010
Current release7.1, August 20213.2.29, March 20242.4.1, August 202011.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC++Java, C++
Server operating systemsLinuxAll OS with a Java JDK (>= JDK 6)Linux
OS X
Windows
Linux
OS X infofor development
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language, no joinsnoyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
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#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsJava, JavascriptJava
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeHooksClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationship in graphsnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-document operationsACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
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 levelAccess rights for users and roles; record level security configurableyes infousers and table-level permissionsUsers and roles with access to stored procedures

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KineticaOrientDBRethinkDBVoltDB
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