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DBMS > Kinetica vs. STSdb vs. Valentina Server vs. Warp 10

System Properties Comparison Kinetica vs. STSdb vs. Valentina Server vs. Warp 10

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSTSdb  Xexclude from comparisonValentina Server  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodObject-relational database and reports serverTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.kinetica.comgithub.com/­STSSoft/­STSdb4www.valentina-db.netwww.warp10.io
Technical documentationdocs.kinetica.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwww.warp10.io/­content/­02_Getting_started
DeveloperKineticaSTS Soft SCParadigma SoftwareSenX
Initial release2012201119992015
Current release7.1, August 20214.0.8, September 20155.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, commercial license availablecommercialOpen Source infoApache License 2.0
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#Java
Server operating systemsLinuxWindowsLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yesyes
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 indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client APIODBCHTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnoyesyes infoWarpScript
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelnofine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
KineticaSTSdbValentina ServerWarp 10
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