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

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

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPinecone  Xexclude from comparisonVitess  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 managed, cloud-native vector databaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSpatial DBMSSearch engineVector DBMSRelational 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
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchwww.pinecone.iovitess.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.pinecone.io/­docs/­overviewvitess.io/­docs
DeveloperCCRi and othersMicrosoftPinecone Systems, IncThe Linux Foundation, PlanetScale
Initial release2014201520192013
Current release5.0.0, May 2024V115.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaGo
Server operating systemshostedhostedDocker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes
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 indexesyesyesyes
SQL infoSupport of SQLnononoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Java
JavaScript
Python
PythonAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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 storageyes infousing Azure authenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
GeoMesaMicrosoft Azure AI SearchPineconeVitess
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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