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DBMS > GeoMesa vs. GridGain vs. OpenQM vs. TerarkDB

System Properties Comparison GeoMesa vs. GridGain vs. OpenQM vs. TerarkDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGridGain  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.GridGain is an in-memory computing platform, built on Apache IgniteQpenQM is a high-performance, self-tuning, multi-value DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSpatial DBMSKey-value store
Relational DBMS
Multivalue DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.geomesa.orgwww.gridgain.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­bytedance/­terarkdb
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.gridgain.com/­docs/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCCRi and othersGridGain Systems, Inc.Rocket Software, originally Martin PhillipsByteDance, originally Terark
Initial release2014200719932016
Current release4.0.5, February 2024GridGain 8.5.13.4-12
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGPLv2, extended commercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava, C++, .NetC++
Server operating systemsLinux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyesyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C++
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesno
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes (replicated cache)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageSecurity Hooks for custom implementationsAccess rights can be defined down to the item levelno

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More resources
GeoMesaGridGainOpenQM infoalso called QMTerarkDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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