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DBMS > Greenplum vs. Kinetica vs. openGauss

System Properties Comparison Greenplum vs. Kinetica vs. openGauss

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonKinetica  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Fully vectorized database across both GPUs and CPUsAn 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
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.99
Rank#49  Overall
#31  Relational DBMS
Score0.80
Rank#226  Overall
#104  Relational DBMS
Score1.38
Rank#177  Overall
#83  Relational DBMS
Websitegreenplum.orgwww.kinetica.comgitee.com/­opengauss
opengauss.org
Technical documentationdocs.greenplum.orgdocs.kinetica.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperPivotal Software Inc.KineticaHuawei and openGauss community
Initial release200520122019
Current release7.0.0, September 20237.1, August 20213.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen 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++C, C++, Java
Server operating systemsLinuxLinuxLinux
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.yes infosince Version 4.2nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsANSI SQL 2011
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
Server-side scripts infoStored proceduresyesuser defined functionsyes
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash)
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 methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standard

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More resources
GreenplumKineticaopenGauss
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1. Introducing the Greenplum Database - Data Warehousing with Greenplum [Book]
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Kinetica rolls machine learning libraries into its GPU-powered database
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openGauss Open Source Community Officially Launch
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The openGauss powers database industry forward through innovation
6 January 2022, Global Times

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