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DBMS > GeoMesa vs. GridGain vs. JaguarDB vs. MonetDB vs. Quasardb

System Properties Comparison GeoMesa vs. GridGain vs. JaguarDB vs. MonetDB vs. Quasardb

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonMonetDB  Xexclude from comparisonQuasardb  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 IgnitePerformant, highly scalable DBMS for AI and IoT applicationsA relational database management system that stores data in columnsDistributed, high-performance timeseries database
Primary database modelSpatial DBMSKey-value store
Relational DBMS
Key-value store
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.geomesa.orgwww.gridgain.comwww.jaguardb.comwww.monetdb.orgquasar.ai
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmlwww.monetdb.org/­Documentationdoc.quasar.ai/­master
DeveloperCCRi and othersGridGain Systems, Inc.DataJaguar, Inc.MonetDB BVquasardb
Initial release20142007201520042009
Current release4.0.5, February 2024GridGain 8.5.13.3 July 2023Dec2023 (11.49), December 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGPL V3.0Open Source infoMozilla Public License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava, C++, .NetC++ infothe server part. Clients available in other languagesCC++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.noyesnono
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL 2003 with some extensionsSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes, in SQL, C, Rno
Triggersnoyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingShardingSharding via remote tablesSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes (replicated cache)Multi-source replicationnone infoSource-replica replication available in experimental statusSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)nonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesnoyes infoTransient mode
User concepts infoAccess controlyes infodepending on the DBMS used for storageSecurity Hooks for custom implementationsrights management via user accountsfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
GeoMesaGridGainJaguarDBMonetDBQuasardb
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