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DBMS > Cubrid vs. openGauss vs. Pinecone

System Properties Comparison Cubrid vs. openGauss vs. Pinecone

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonopenGauss  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector 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
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitecubrid.com (korean)
cubrid.org (english)
gitee.com/­opengauss
opengauss.org
www.pinecone.io
Technical documentationcubrid.org/­manualsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.pinecone.io/­docs/­overview
DeveloperCUBRID Corporation, CUBRID FoundationHuawei and openGauss communityPinecone Systems, Inc
Initial release200820192019
Current release11.0, January 20213.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC, C++, Java
Server operating systemsLinux
Windows
Linuxhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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 indexesyesyes
SQL infoSupport of SQLyesANSI SQL 2011no
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
CubridopenGaussPinecone
DB-Engines blog posts

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