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DBMS > GridGain vs. KeyDB vs. OrientDB vs. RethinkDB

System Properties Comparison GridGain vs. KeyDB vs. OrientDB vs. RethinkDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKeyDB  Xexclude from comparisonOrientDB  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsMulti-model DBMS (Document, Graph, Key/Value)DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelKey-value store
Relational DBMS
Key-value storeDocument store
Graph DBMS
Key-value store
Document store
Secondary database modelsSpatial 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
Score0.70
Rank#229  Overall
#32  Key-value stores
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.gridgain.comgithub.com/­Snapchat/­KeyDB
keydb.dev
orientdb.orgrethinkdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.keydb.devwww.orientdb.com/­docs/­last/­index.htmlrethinkdb.com/­docs
DeveloperGridGain Systems, Inc.EQ Alpha Technology Ltd.OrientDB LTD; CallidusCloud; SAPThe Linux Foundation infosince July 2017
Initial release2007201920102009
Current releaseGridGain 8.5.13.2.29, March 20242.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoApache version 2Open 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++, .NetC++JavaC++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxAll OS with a Java JDK (>= JDK 6)Linux
OS X
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes 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.yesnonono
Secondary indexesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query language, no joinsno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol infoRESP - REdis Serialization ProtocoTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
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
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)LuaJava, Javascript
Triggersyes (cache interceptors and events)noHooksClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono infocould be achieved with distributed queriesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationssimple password-based access control and ACLAccess rights for users and roles; record level security configurableyes infousers and table-level permissions

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More resources
GridGainKeyDBOrientDBRethinkDB
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