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DBMS > GridGain vs. MonetDB vs. Oracle Rdb vs. RethinkDB

System Properties Comparison GridGain vs. MonetDB vs. Oracle Rdb vs. RethinkDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA relational database management system that stores data in columnsDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.gridgain.comwww.monetdb.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlrethinkdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.monetdb.org/­Documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlrethinkdb.com/­docs
DeveloperGridGain Systems, Inc.MonetDB BVOracle, originally developed by Digital Equipment Corporation (DEC)The Linux Foundation infosince July 2017
Initial release2007200419842009
Current releaseGridGain 8.5.1Dec2023 (11.49), December 20237.4.1.1, 20212.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetCC++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
HP Open VMSLinux
OS X
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
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
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, R
Triggersyes (cache interceptors and events)yesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
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.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyes infousers and table-level permissions

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