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DBMS > Kinetica vs. SiteWhere vs. STSdb vs. Transwarp StellarDB

System Properties Comparison Kinetica vs. SiteWhere vs. STSdb vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSiteWhere  Xexclude from comparisonSTSdb  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsM2M integration platform for persisting/querying time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSTime Series DBMSKey-value storeGraph 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
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websitewww.kinetica.comgithub.com/­sitewhere/­sitewheregithub.com/­STSSoft/­STSdb4www.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.kinetica.comsitewhere1.sitewhere.io/­index.html
DeveloperKineticaSiteWhereSTS Soft SCTranswarp
Initial release201220102011
Current release7.1, August 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPLv2, commercial license availablecommercial
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++JavaC#
Server operating systemsLinuxLinux
OS X
Windows
Windows
Data schemeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST.NET Client APIOpenCypher
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization conceptnoyes

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More resources
KineticaSiteWhereSTSdbTranswarp StellarDB
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Kinetica Elevates RAG with Fast Access to Real-Time Data
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