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DBMS > GridGain vs. Kinetica vs. SiriDB vs. SpatiaLite

System Properties Comparison GridGain vs. Kinetica vs. SiriDB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonSiriDB  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteFully vectorized database across both GPUs and CPUsOpen Source Time Series DBMSSpatial extension of SQLite
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSSpatial DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitewww.gridgain.comwww.kinetica.comsiridb.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.kinetica.comdocs.siridb.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperGridGain Systems, Inc.KineticaCesbitAlessandro Furieri
Initial release2007201220172008
Current releaseGridGain 8.5.17.1, August 20215.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC, C++CC++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinuxserver-less
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes 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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsnoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsnono
Triggersyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and roles on table levelsimple rights management via user accountsno

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More resources
GridGainKineticaSiriDBSpatiaLite
DB-Engines blog posts

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