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DBMS > Cubrid vs. Databend vs. openGauss

System Properties Comparison Cubrid vs. Databend vs. openGauss

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatabend  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
github.com/­datafuselabs/­databend
www.databend.com
gitee.com/­opengauss
opengauss.org
Technical documentationcubrid.org/­manualsdocs.databend.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperCUBRID Corporation, CUBRID FoundationDatabend LabsHuawei and openGauss community
Initial release200820212019
Current release11.0, January 20211.0.59, April 20233.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaRustC, C++, Java
Server operating systemsLinux
Windows
hosted
Linux
macOS
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLyesyesANSI SQL 2011
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
CubridDatabendopenGauss
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