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DBMS > Citus vs. EsgynDB vs. Greenplum vs. Kingbase vs. WakandaDB

System Properties Comparison Citus vs. EsgynDB vs. Greenplum vs. Kingbase vs. WakandaDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonKingbase  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic 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 PostgreSQL and Oracle and widely used in China.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.citusdata.comwww.esgyn.cngreenplum.orgwww.kingbase.com.cnwakanda.github.io
Technical documentationdocs.citusdata.comdocs.greenplum.orgwakanda.github.io/­doc
DeveloperEsgynPivotal Software Inc.BeiJing KINGBASE Information technologies inc.Wakanda SAS
Initial release20102015200519992012
Current release8.1, December 20187.0.0, September 2023V8.0, August 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache 2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaC and JavaC++, JavaScript
Server operating systemsLinuxLinuxLinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infospecific XML type available, but no XML query functionalitynoyes infosince Version 4.2yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesyesStandard with numerous extensionsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Proceduresyesuser defined functionsyes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication between multi datacentersSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
CitusEsgynDBGreenplumKingbaseWakandaDB
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