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DBMS > Axibase vs. GeoSpock vs. GridDB vs. openGauss vs. Postgres-XL

System Properties Comparison Axibase vs. GeoSpock vs. GridDB vs. openGauss vs. Postgres-XL

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridDB  Xexclude from comparisonopenGauss  Xexclude from comparisonPostgres-XL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationSpatial and temporal data processing engine for extreme data scaleScalable in-memory time series database optimized for IoT and Big DataAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSKey-value store
Relational DBMS
Document store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financegeospock.comgriddb.netgitee.com/­opengauss
opengauss.org
www.postgres-xl.org
Technical documentationdocs.griddb.netdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.postgres-xl.org/­documentation
DeveloperAxibase CorporationGeoSpockToshiba CorporationHuawei and openGauss community
Initial release2013201320192014 infosince 2012, originally named StormDB
Current release155852.0, September 20195.1, August 20223.0, March 202210 R1, October 2018
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen SourceOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC++C, C++, JavaC
Server operating systemsLinuxhostedLinuxLinuxLinux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesnotemporal, categoricalyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)SQL92, SQL-like TQL (Toshiba Query Language)ANSI SQL 2011yes infodistributed, parallel query execution
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnonoyesuser defined functions
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardinghorizontal partitioning (by range, list and hash)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at container levelACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AxibaseGeoSpockGridDBopenGaussPostgres-XL
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
AxibaseGeoSpockGridDBopenGaussPostgres-XL
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