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DBMS > Cubrid vs. Hive vs. KairosDB vs. Splice Machine vs. Trafodion

System Properties Comparison Cubrid vs. Hive vs. KairosDB vs. Splice Machine vs. Trafodion

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonHive  Xexclude from comparisonKairosDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Time Series DBMS based on Cassandra or H2Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
hive.apache.orggithub.com/­kairosdb/­kairosdbsplicemachine.comtrafodion.apache.org
Technical documentationcubrid.org/­manualscwiki.apache.org/­confluence/­display/­Hive/­Homekairosdb.github.iosplicemachine.com/­how-it-workstrafodion.apache.org/­documentation.html
DeveloperCUBRID Corporation, CUBRID FoundationApache Software Foundation infoinitially developed by FacebookSplice MachineApache Software Foundation, originally developed by HP
Initial release20082012201320142014
Current release11.0, January 20213.1.3, April 20221.2.2, November 20183.1, March 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJavaJavaJavaC++, Java
Server operating systemsLinux
Windows
All OS with a Java VMLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesschema-freeyesyes
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.nonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Thrift
Graphite protocol
HTTP REST
Telnet API
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
Java
JavaScript infoNode.js
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored Proceduresyes infouser defined functions and integration of map-reducenoyes infoJavaJava Stored Procedures
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoYes, via Full Spark Integrationyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolessimple password-based access controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
CubridHiveKairosDBSplice MachineTrafodion
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