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

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

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRisingWave  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.Search-as-a-service for web and mobile app developmentA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelSpatial DBMSRelational DBMSSearch engineRelational DBMS
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
Score5.52
Rank#59  Overall
#6  Search engines
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.geomesa.orggreenplum.orgazure.microsoft.com/­en-us/­services/­searchwww.risingwave.com/­database
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.greenplum.orglearn.microsoft.com/­en-us/­azure/­searchdocs.risingwave.com/­docs/­current/­intro
DeveloperCCRi and othersPivotal Software Inc.MicrosoftRisingWave Labs
Initial release2014200520152022
Current release5.0.0, May 20247.0.0, September 2023V11.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaRust
Server operating systemsLinuxhostedDocker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSON
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
PostgreSQL wire protocol
Supported programming languagesC
Java
Perl
Python
R
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnoUDFs in Python or Java
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding 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 methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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 layernonoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes infousing Azure authenticationUsers and Roles

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More resources
GeoMesaGreenplumMicrosoft Azure AI SearchRisingWave
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