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DBMS > GeoMesa vs. Microsoft Azure AI Search vs. MonetDB vs. openGemini

System Properties Comparison GeoMesa vs. Microsoft Azure AI Search vs. MonetDB vs. openGemini

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMonetDB  Xexclude from comparisonopenGemini  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Search-as-a-service for web and mobile app developmentA relational database management system that stores data in columnsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelSpatial DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Websitewww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchwww.monetdb.orgwww.opengemini.org
github.com/­openGemini
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchwww.monetdb.org/­Documentationdocs.opengemini.org/­guide
DeveloperCCRi and othersMicrosoftMonetDB BVHuawei and openGemini community
Initial release2014201520042022
Current release5.0.0, May 2024V1Dec2023 (11.49), December 20231.1, July 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCGo
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesInteger, Float, Boolean, String
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyes infoSQL 2003 with some extensionsSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonoyes, in SQL, C, Rno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoImplicit feature of the cloud servicenone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate 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 layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes infousing Azure authenticationfine grained access rights according to SQL-standardAdministrators and common users accounts

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More resources
GeoMesaMicrosoft Azure AI SearchMonetDBopenGemini
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