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

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

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRisingWave  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 distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.esgyn.cnwww.geomesa.orgwww.postgres-xl.orgwww.risingwave.com/­database
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.postgres-xl.org/­documentationdocs.risingwave.com/­docs/­current/­intro
DeveloperEsgynCCRi and othersRisingWave Labs
Initial release201520142014 infosince 2012, originally named StormDB2022
Current release5.0.0, May 202410 R1, October 20181.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoMozilla public licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaScalaCRust
Server operating systemsLinuxLinux
macOS
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSON
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
PostgreSQL wire protocol
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 functionsUDFs in Python or Java
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate 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 datayesyesyes
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 layernoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardUsers and Roles

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More resources
EsgynDBGeoMesaPostgres-XLRisingWave
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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