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DBMS > Citus vs. GridGain vs. RethinkDB vs. Trafodion

System Properties Comparison Citus vs. GridGain vs. RethinkDB vs. Trafodion

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGridGain  Xexclude from comparisonRethinkDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGridGain is an in-memory computing platform, built on Apache IgniteDBMS for the Web with a mechanism to push updated query results to applications in realtime.Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Websitewww.citusdata.comwww.gridgain.comrethinkdb.comtrafodion.apache.org
Technical documentationdocs.citusdata.comwww.gridgain.com/­docs/­index.htmlrethinkdb.com/­docstrafodion.apache.org/­documentation.html
DeveloperGridGain Systems, Inc.The Linux Foundation infosince July 2017Apache Software Foundation, originally developed by HP
Initial release2010200720092014
Current release8.1, December 2018GridGain 8.5.12.4.1, August 20202.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial, open sourceOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .Net, Python, REST, SQLC++C++, Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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 functionalityyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes (compute grid and cache interceptors can be used instead)Java Stored Procedures
Triggersyesyes (cache interceptors and events)Client-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes (replicated cache)Source-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control
Security Hooks for custom implementations
yes infousers and table-level permissionsfine grained access rights according to SQL-standard

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CitusGridGainRethinkDBTrafodion
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