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DBMS > GeoMesa vs. JaguarDB vs. Kinetica vs. Valentina Server

System Properties Comparison GeoMesa vs. JaguarDB vs. Kinetica vs. Valentina Server

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Performant, highly scalable DBMS for AI and IoT applicationsFully vectorized database across both GPUs and CPUsObject-relational database and reports server
Primary database modelSpatial DBMSKey-value store
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.geomesa.orgwww.jaguardb.comwww.kinetica.comwww.valentina-db.net
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.jaguardb.com/­support.htmldocs.kinetica.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCCRi and othersDataJaguar, Inc.KineticaParadigma Software
Initial release2014201520121999
Current release5.0.0, May 20243.3 July 20237.1, August 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++ infothe server part. Clients available in other languagesC, C++
Server operating systemsLinuxLinuxLinux
OS X
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 SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 layernoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagerights management via user accountsAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
GeoMesaJaguarDBKineticaValentina Server
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