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DBMS > GeoMesa vs. TigerGraph

System Properties Comparison GeoMesa vs. TigerGraph

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGeoMesa 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 modelSpatial DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.94
Rank#225  Overall
#4  Spatial DBMS
Score2.16
Rank#137  Overall
#9  Graph DBMS
Websitewww.geomesa.orgwww.tigergraph.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.tigergraph.com
DeveloperCCRi and others
Initial release20142017
Current release3.5.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemsLinux
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
GeoMesaTigerGraph
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

TigerGraph CEO Yu Xu on the Future of Graph Analytics | eWEEK
30 January 2023, eWeek

TigerGraph Recognized in 2022 Gartner® Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases
12 January 2023, Yahoo Finance

Untangled, Unsiloed, Unleashed: The (Upcoming) Year In Data Analytics
5 January 2023, Forbes

TigerGraph Cloud adds graph analytics, machine learning tools
15 November 2022, InfoWorld

TigerGraph Announces Commitment to Support openCypher in GSQL
19 October 2022, GlobeNewswire

provided by Google News

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