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DBMS > GeoMesa vs. SQream DB vs. SWC-DB vs. TigerGraph

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

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonSQream DB  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 GPU-based, columnar RDBMS for big data analytics workloadsA high performance, scalable Wide Column DBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSpatial DBMSRelational DBMSWide column storeGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.geomesa.orgsqream.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tigergraph.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.sqream.comdocs.tigergraph.com
DeveloperCCRi and othersSQream TechnologiesAlex Kashirin
Initial release2014201720202017
Current release4.0.5, February 20242022.1.6, December 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++, CUDA, Haskell, Java, ScalaC++C++
Server operating systemsLinuxLinuxLinux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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 SQLnoyesSQL-like query languageSQL-like query language (GSQL)
APIs and other access methods.Net
JDBC
ODBC
Proprietary protocol
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++C++
Java
Server-side scripts infoStored proceduresnouser defined functions in Pythonnoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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
GeoMesaSQream DBSWC-DB infoSuper Wide Column DatabaseTigerGraph
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