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DBMS > GeoMesa vs. SWC-DB vs. TigerGraph

System Properties Comparison GeoMesa vs. SWC-DB vs. TigerGraph

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A high performance, scalable Wide Column DBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSpatial DBMSWide column storeGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitewww.geomesa.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tigergraph.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.tigergraph.com
DeveloperCCRi and othersAlex Kashirin
Initial release201420202017
Current release4.0.5, February 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++
Server operating systemsLinuxLinux
Data schemeyesschema-freeyes
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.nonono
Secondary indexesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (GSQL)
APIs and other access methodsProprietary protocol
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++C++
Java
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding
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 layerImmediate Consistency
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
GeoMesaSWC-DB infoSuper Wide Column DatabaseTigerGraph
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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