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DBMS > GeoMesa

GeoMesa System Properties

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Editorial information provided by DB-Engines
NameGeoMesa
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#199  Overall
#3  Spatial DBMS
Websitewww.geomesa.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperCCRi and others
Initial release2014
Current release3.2.0, April 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesyes
SQL infoSupport of SQLno
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layer
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layer
User concepts infoAccess controlyes infodepending on the DBMS used for storage

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More resources
GeoMesa
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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