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DBMS > Kinetica vs. OrigoDB vs. SpatiaLite vs. Transbase

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

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA fully ACID in-memory object graph databaseSpatial extension of SQLiteA resource-optimized, high-performance, universally applicable RDBMS
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
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.kinetica.comorigodb.comwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.kinetica.comorigodb.com/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperKineticaRobert Friberg et alAlessandro FurieriTransaction Software GmbH
Initial release20122009 infounder the name LiveDB20081987
Current release7.1, August 20215.0.0, August 2020Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial infofree development license
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 and C++
Server operating systemsLinuxLinux
Windows
server-lessFreeBSD
Linux
macOS
Solaris
Windows
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
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.NetC
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesnoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneSource-replica replication
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 modelyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes
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 authorizationnofine grained access rights according to SQL-standard

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More resources
KineticaOrigoDBSpatiaLiteTransbase
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

provided by Google News



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