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DBMS > Kinetica vs. OrigoDB vs. SpatiaLite vs. StarRocks

System Properties Comparison Kinetica vs. OrigoDB vs. SpatiaLite vs. StarRocks

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA fully ACID in-memory object graph databaseSpatial extension of SQLiteAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Spatial DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitewww.kinetica.comorigodb.comwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.starrocks.io
Technical documentationdocs.kinetica.comorigodb.com/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperKineticaRobert Friberg et alAlessandro FurieriThe Linux Foundation infosince Feb 2023
Initial release20122009 infounder the name LiveDB20082020
Current release7.1, August 20215.0.0, August 20203.3, June 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoApache Version 2.0
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#C++C++, Java
Server operating systemsLinuxLinux
Windows
server-lessLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JDBC
MySQL protocol
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.NetJava
Server-side scripts infoStored proceduresuser defined functionsyesnouser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizednonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
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
Foreign keys infoReferential integrityyesdepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyesno
User concepts infoAccess controlAccess rights for users and roles on table levelRole based authorizationnoRole based access control and fine grained access rights

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More resources
KineticaOrigoDBSpatiaLiteStarRocks
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