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

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

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGreenplum  Xexclude from comparisonKuzu  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Analytic 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.An embeddable property Graph DBMS built for query speed and scalabilitySearch-as-a-service for web and mobile app development
Primary database modelSpatial DBMSRelational DBMSGraph DBMSSearch engine
Secondary database modelsDocument 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
Score0.00
Rank#402  Overall
#41  Graph DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.geomesa.orggreenplum.orgkuzudb.comazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.greenplum.orgdocs.kuzudb.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperCCRi and othersPivotal Software Inc.Microsoft
Initial release2014200520222015
Current release5.0.0, May 20247.0.0, September 20230.4.2, May 2024V1
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoMIT licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemsLinuxserver-lesshosted
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.noyes infosince Version 4.2nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsJDBC
ODBC
CLI Client
Cypher Query Language
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Java
JavaScript
Python
Rust
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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 storagefine grained access rights according to SQL-standardnoyes infousing Azure authentication

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More resources
GeoMesaGreenplumKuzuMicrosoft Azure AI Search
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