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DBMS > Citus vs. CouchDB vs. Derby vs. GridGain vs. Oracle Rdb

System Properties Comparison Citus vs. CouchDB vs. Derby vs. GridGain vs. Oracle Rdb

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGridGain  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitewww.citusdata.comcouchdb.apache.orgdb.apache.org/­derbywww.gridgain.comwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.citusdata.comdocs.couchdb.org/­en/­stabledb.apache.org/­derby/­manuals/­index.htmlwww.gridgain.com/­docs/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerApache Software FoundationGridGain Systems, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20102005199720071984
Current release8.1, December 20183.3.3, December 202310.17.1.0, November 2023GridGain 8.5.17.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache version 2Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCErlangJavaJava, C++, .Net
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
HP Open VMS
Data schemeyesschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 functionalitynoyesyesno
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
JavaC#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.View functions in JavaScriptJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)
Triggersyesyesyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
Source-replica replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
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.nonoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databasefine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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