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DBMS > GeoMesa vs. Pinecone vs. TerarkDB

System Properties Comparison GeoMesa vs. Pinecone vs. TerarkDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonPinecone  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A managed, cloud-native vector databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSpatial DBMSVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.geomesa.orgwww.pinecone.iogithub.com/­bytedance/­terarkdb
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.pinecone.io/­docs/­overviewbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCCRi and othersPinecone Systems, IncByteDance, originally Terark
Initial release201420192016
Current release5.0.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemshosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesString, 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.nonono
Secondary indexesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIC++ API
Java API
Supported programming languagesPythonC++
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layer
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 storageno

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More resources
GeoMesaPineconeTerarkDB
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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Recent citations in the news

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22 May 2024, SiliconANGLE News

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21 May 2024, TechCrunch

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21 May 2024, Datanami

How a Decades-Old Technology and a Paper From Meta Created an AI Industry Standard
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