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DBMS > GeoMesa vs. Microsoft Azure AI Search vs. Oracle Coherence vs. Pinecone

System Properties Comparison GeoMesa vs. Microsoft Azure AI Search vs. Oracle Coherence vs. Pinecone

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Coherence  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 developmentOracles in-memory data grid solutionA managed, cloud-native vector database
Primary database modelSpatial DBMSSearch engineKey-value storeVector DBMS
Secondary database modelsVector 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
Score1.97
Rank#129  Overall
#22  Key-value stores
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitewww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­java/­coherencewww.pinecone.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.pinecone.io/­docs/­overview
DeveloperCCRi and othersMicrosoftOraclePinecone Systems, Inc
Initial release2014201520072019
Current release5.0.0, May 2024V114.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercial
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 languageScalaJava
Server operating systemshostedAll OS with a Java VMhosted
Data schemeyesyesschema-free
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 indexesyesyesno
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIJCache
JPA
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
.Net
C++
Java
Python
Server-side scripts infoStored proceduresnonono
Triggersnonoyes infoLive Events
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 serviceyes, with selectable consistency level
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
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes
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 authenticationauthentification to access the cache via certificates or http basic authentication

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More resources
GeoMesaMicrosoft Azure AI SearchOracle CoherencePinecone
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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