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DBMS > EsgynDB vs. GeoMesa vs. H2GIS vs. Postgres-XL

System Properties Comparison EsgynDB vs. GeoMesa vs. H2GIS vs. Postgres-XL

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonH2GIS  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial extension of H2Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSSpatial DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.esgyn.cnwww.geomesa.orgwww.h2gis.orgwww.postgres-xl.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.h2gis.org/­docs/­homewww.postgres-xl.org/­documentation
DeveloperEsgynCCRi and othersCNRS
Initial release2015201420132014 infosince 2012, originally named StormDB
Current release5.0.0, May 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoLGPL 3.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaScalaJavaC
Server operating systemsLinuxLinux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyesyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infobased on H2user defined functions
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layernonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersdepending on storage layeryes infobased on H2
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.nodepending on storage layeryesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageyes infobased on H2fine grained access rights according to SQL-standard

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More resources
EsgynDBGeoMesaH2GISPostgres-XL
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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