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DBMS > Cubrid vs. EXASOL vs. Hive vs. Netezza

System Properties Comparison Cubrid vs. EXASOL vs. Hive vs. Netezza

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonEXASOL  Xexclude from comparisonHive  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.data warehouse software for querying and managing large distributed datasets, built on HadoopData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.exasol.comhive.apache.orgwww.ibm.com/­products/­netezza
Technical documentationcubrid.org/­manualswww.exasol.com/­resourcescwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperCUBRID Corporation, CUBRID FoundationExasolApache Software Foundation infoinitially developed by FacebookIBM
Initial release2008200020122000
Current release11.0, January 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJava
Server operating systemsLinux
Windows
All OS with a Java VMLinux infoincluded in appliance
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Thrift
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Lua
Python
R
C++
Java
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsyes infouser defined functions and integration of map-reduceyes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and rolesUsers with fine-grained authorization concept

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More resources
CubridEXASOLHiveNetezza infoAlso called PureData System for Analytics by IBM
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