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DBMS > Greenplum vs. openGauss vs. Vitess

System Properties Comparison Greenplum vs. openGauss vs. Vitess

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonopenGauss  Xexclude from comparisonVitess  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.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.23
Rank#45  Overall
#29  Relational DBMS
Score1.04
Rank#179  Overall
#82  Relational DBMS
Score0.83
Rank#205  Overall
#95  Relational DBMS
Websitegreenplum.orggitee.com/­opengauss
opengauss.org
vitess.io
Technical documentationdocs.greenplum.orgdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
vitess.io/­docs
DeveloperPivotal Software Inc.Huawei and openGauss communityThe Linux Foundation, PlanetScale
Initial release200520192013
Current release7.0.0, September 20233.0, March 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0, commercial licenses available
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++, JavaGo
Server operating systemsLinuxLinuxDocker
Linux
macOS
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 4.2no
Secondary indexesyesyesyes
SQL infoSupport of SQLyesANSI SQL 2011yes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
Java
Perl
Python
R
C
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyesyes infoproprietary syntax
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
GreenplumopenGaussVitess
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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
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