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DBMS > Kinetica vs. Machbase Neo vs. Microsoft Azure Table Storage vs. RethinkDB vs. TimesTen

System Properties Comparison Kinetica vs. Machbase Neo vs. Microsoft Azure Table Storage vs. RethinkDB vs. TimesTen

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRethinkDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsTimeSeries DBMS for AIoT and BigDataA Wide Column Store for rapid development using massive semi-structured datasetsDBMS for the Web with a mechanism to push updated query results to applications in realtime.In-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSTime Series DBMSWide column storeDocument 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
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.74
Rank#105  Overall
#19  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.kinetica.commachbase.comazure.microsoft.com/­en-us/­services/­storage/­tablesrethinkdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.kinetica.commachbase.com/­dbmsrethinkdb.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperKineticaMachbaseMicrosoftThe Linux Foundation infosince July 2017Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20122013201220091998
Current release7.1, August 2021V8.0, August 20232.4.1, August 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infofree test version availablecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++CC++
Server operating systemsLinuxLinux
macOS
Windows
hostedLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsnonoPL/SQL
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesnoyesyesyes 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 infovolatile and lookup tablenonoyes
User concepts infoAccess controlAccess rights for users and roles on table levelsimple password-based access controlAccess rights based on private key authentication or shared access signaturesyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
KineticaMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Table StorageRethinkDBTimesTen
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