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

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

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRockset  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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSSpatial DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
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
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.esgyn.cnwww.geomesa.orgwww.postgres-xl.orgrockset.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.postgres-xl.org/­documentationdocs.rockset.com
DeveloperEsgynCCRi and othersRockset
Initial release201520142014 infosince 2012, originally named StormDB2019
Current release5.0.0, May 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaScalaCC++
Server operating systemsLinuxLinux
macOS
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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.nonoyes infoXML type, but no XML query functionalityno infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnouser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerhorizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCno
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.nodepending on storage layerno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
EsgynDBGeoMesaPostgres-XLRockset
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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