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DBMS > EventStoreDB vs. GeoMesa vs. TigerGraph

System Properties Comparison EventStoreDB vs. GeoMesa vs. TigerGraph

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelEvent StoreSpatial DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#181  Overall
#1  Event Stores
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitewww.eventstore.comwww.geomesa.orgwww.tigergraph.com
Technical documentationdevelopers.eventstore.comwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.tigergraph.com
DeveloperEvent Store LimitedCCRi and others
Initial release201220142017
Current release21.2, February 20214.0.5, February 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemsLinux
Windows
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyes
SQL infoSupport of SQLnoSQL-like query language (GSQL)
APIs and other access methodsGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
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 methodsyesyes
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 datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole-based access control

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More resources
EventStoreDBGeoMesaTigerGraph
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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