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DBMS > Cubrid vs. Hive vs. Ignite vs. KairosDB vs. Trafodion

System Properties Comparison Cubrid vs. Hive vs. Ignite vs. KairosDB vs. Trafodion

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonKairosDB  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 HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Distributed Time Series DBMS based on Cassandra or H2Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series 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
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Websitecubrid.com (korean)
cubrid.org (english)
hive.apache.orgignite.apache.orggithub.com/­kairosdb/­kairosdbtrafodion.apache.org
Technical documentationcubrid.org/­manualscwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docskairosdb.github.iotrafodion.apache.org/­documentation.html
DeveloperCUBRID Corporation, CUBRID FoundationApache Software Foundation infoinitially developed by FacebookApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20082012201520132014
Current release11.0, January 20213.1.3, April 2022Apache Ignite 2.61.2.2, November 20182.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache 2.0Open 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++, JavaJavaC++, Java, .NetJavaC++, Java
Server operating systemsLinux
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesyesschema-freeyes
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.noyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Java
JavaScript infoNode.js
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored Proceduresyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)noJava Stored Procedures
Triggersyesnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes (replicated cache)selectable replication factor infobased on Cassandrayes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)noyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
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.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesSecurity Hooks for custom implementationssimple password-based access controlfine grained access rights according to SQL-standard

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More resources
CubridHiveIgniteKairosDBTrafodion
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