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DBMS > GeoMesa vs. JaguarDB

System Properties Comparison GeoMesa vs. JaguarDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonJaguarDB  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 applications
Primary database modelSpatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#200  Overall
#4  Spatial DBMS
Score0.06
Rank#333  Overall
#50  Key-value stores
Websitewww.geomesa.orgwww.datajaguar.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.datajaguar.com/­support.php
DeveloperCCRi and othersDataJaguar, Inc.
Initial release20142015
Current release3.2.0, April 20212.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenono
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 languages
Server operating systemsLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storagerights management via user accounts

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More resources
GeoMesaJaguarDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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