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DBMS > H2GIS vs. Kinetica vs. Realm vs. Splice Machine

System Properties Comparison H2GIS vs. Kinetica vs. Realm vs. Splice Machine

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonKinetica  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionSpatial extension of H2Fully vectorized database across both GPUs and CPUsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSpatial DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.h2gis.orgwww.kinetica.comrealm.iosplicemachine.com
Technical documentationwww.h2gis.org/­docs/­homedocs.kinetica.comrealm.io/­docssplicemachine.com/­how-it-works
DeveloperCNRSKineticaRealm, acquired by MongoDB in May 2019Splice Machine
Initial release2013201220142014
Current release7.1, August 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoLGPL 3.0commercialOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Java
Server operating systemsLinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infobased on H2user defined functionsno inforuns within the applications so server-side scripts are unnecessaryyes infoJava
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2Source-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
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.yesyes infoGPU vRAM or System RAMyes infoIn-Memory realmyes
User concepts infoAccess controlyes infobased on H2Access rights for users and roles on table levelyesAccess rights for users, groups and roles according to SQL-standard

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More resources
H2GISKineticaRealmSplice Machine
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