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DBMS > GeoMesa vs. Pinecone vs. TigerGraph

System Properties Comparison GeoMesa vs. Pinecone vs. TigerGraph

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonPinecone  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A managed, cloud-native vector databaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSpatial DBMSVector DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score3.29
Rank#94  Overall
#2  Vector DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitewww.geomesa.orgwww.pinecone.iowww.tigergraph.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.pinecone.io/­docs/­overviewdocs.tigergraph.com
DeveloperCCRi and othersPinecone Systems, Inc
Initial release201420192017
Current release4.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial
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 systemshostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesString, 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 indexesyes
SQL infoSupport of SQLnonoSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesPythonC++
Java
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layer
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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 layernono
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole-based access control

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More resources
GeoMesaPineconeTigerGraph
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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