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

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

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPinecone  Xexclude from comparisonYottaDB  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 databaseA fast and solid embedded Key-value store
Primary database modelSpatial DBMSSearch engineVector DBMSKey-value store
Secondary database modelsVector DBMSRelational DBMS infousing the Octo plugin
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
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchwww.pinecone.ioyottadb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.pinecone.io/­docs/­overviewyottadb.com/­resources/­documentation
DeveloperCCRi and othersMicrosoftPinecone Systems, IncYottaDB, LLC
Initial release2014201520192001
Current release5.0.0, May 2024V1
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoAGPL 3.0
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 languageScalaC
Server operating systemshostedhostedDocker
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanno
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 indexesyesyesno
SQL infoSupport of SQLnononoby using the Octo plugin
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
PythonC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoImplicit feature of the cloud serviceyes
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking
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 storageyes infousing Azure authenticationUsers and groups based on OS-security mechanisms

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More resources
GeoMesaMicrosoft Azure AI SearchPineconeYottaDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Vector databases
2 June 2023, Matthias Gelbmann

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