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DBMS > GeoMesa vs. GeoSpock vs. Greenplum vs. Microsoft Azure AI Search

System Properties Comparison GeoMesa vs. GeoSpock vs. Greenplum vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scaleAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Search-as-a-service for web and mobile app development
Primary database modelSpatial DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.geomesa.orggeospock.comgreenplum.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.greenplum.orglearn.microsoft.com/­en-us/­azure/­search
DeveloperCCRi and othersGeoSpockPivotal Software Inc.Microsoft
Initial release201420052015
Current release5.0.0, May 20242.0, September 20197.0.0, September 2023V1
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava, Javascript
Server operating systemshostedLinuxhosted
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.nonoyes infosince Version 4.2no
Secondary indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerAutomatic shardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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 layernonono
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per tablefine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
GeoMesaGeoSpockGreenplumMicrosoft Azure AI Search
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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