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DBMS > GeoMesa vs. Microsoft Azure AI Search vs. OpenMLDB vs. Pinecone

System Properties Comparison GeoMesa vs. Microsoft Azure AI Search vs. OpenMLDB vs. Pinecone

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPinecone  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 developmentAn open-source machine learning database that provides a feature platform for training and inferenceA managed, cloud-native vector database
Primary database modelSpatial DBMSSearch engineTime Series DBMSVector DBMS
Secondary database modelsVector DBMSRelational 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
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitewww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchopenmldb.aiwww.pinecone.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchopenmldb.ai/­docs/­zh/­maindocs.pinecone.io/­docs/­overview
DeveloperCCRi and othersMicrosoft4 Paradigm Inc.Pinecone Systems, Inc
Initial release2014201520202019
Current release5.0.0, May 2024V12024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Sourcecommercial
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 languageScalaC++, Java, Scala
Server operating systemshostedLinuxhosted
Data schemeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIJDBC
SQLAlchemy
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C++
Go
Java
Python
Scala
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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 layernoyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
GeoMesaMicrosoft Azure AI SearchOpenMLDBPinecone
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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2 June 2023, Matthias Gelbmann

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