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

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

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonKinetica  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonStarRocks  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Fully 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 modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational 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
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.kinetica.comorigodb.comwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.starrocks.io
Technical documentationapple.github.io/­foundationdbdocs.kinetica.comorigodb.com/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperFoundationDBKineticaRobert Friberg et alAlessandro FurieriThe Linux Foundation infosince Feb 2023
Initial release201320122009 infounder the name LiveDB20082020
Current release6.2.28, November 20207.1, August 20215.0.0, August 20202.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C#C++C++, Java
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
server-lessLinux
Data schemeschema-free infosome layers support schemasyesyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesUser 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 indexesnoyesyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-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 languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
JavaScript (Node.js)
Python
.NetJava
Server-side scripts infoStored proceduresin SQL-layer onlyuser defined functionsyesnouser defined functions
Triggersnoyes 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 nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizednonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesdepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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 controlnoAccess rights for users and roles on table levelRole based authorizationnoRole based access control and fine grained access rights

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More resources
FoundationDBKineticaOrigoDBSpatiaLiteStarRocks
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