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DBMS > Kinetica vs. SiriDB vs. Transwarp StellarDB vs. Yaacomo

System Properties Comparison Kinetica vs. SiriDB vs. Transwarp StellarDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSiriDB  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFully vectorized database across both GPUs and CPUsOpen Source Time Series DBMSA distributed graph DBMS built for enterprise-level graph applicationsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitewww.kinetica.comsiridb.comwww.transwarp.cn/­en/­product/­stellardbyaacomo.com
Technical documentationdocs.kinetica.comdocs.siridb.com
DeveloperKineticaCesbitTranswarpQ2WEB GmbH
Initial release201220172009
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C
Server operating systemsLinuxLinuxAndroid
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoNumeric datayes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIOpenCypherJDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication
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 integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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 RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelsimple rights management via user accountsyesfine grained access rights according to SQL-standard

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More resources
KineticaSiriDBTranswarp StellarDBYaacomo
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