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DBMS > Cubrid vs. Netezza vs. RisingWave vs. Tkrzw

System Properties Comparison Cubrid vs. Netezza vs. RisingWave vs. Tkrzw

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRisingWave  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPData warehouse and analytics appliance part of IBM PureSystemsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
www.ibm.com/­products/­netezzawww.risingwave.com/­databasedbmx.net/­tkrzw
Technical documentationcubrid.org/­manualsdocs.risingwave.com/­docs/­current/­intro
DeveloperCUBRID Corporation, CUBRID FoundationIBMRisingWave LabsMikio Hirabayashi
Initial release2008200020222020
Current release11.0, January 20211.2, September 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaRustC++
Server operating systemsLinux
Windows
Linux infoincluded in applianceDocker
Linux
macOS
Linux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONno
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 indexesyesyesyes
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
OLE DB
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJava Stored ProceduresyesUDFs in Python or Javano
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptUsers and Rolesno

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More resources
CubridNetezza infoAlso called PureData System for Analytics by IBMRisingWaveTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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