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DBMS > Graph Engine vs. RethinkDB vs. RocksDB vs. ToroDB

System Properties Comparison Graph Engine vs. RethinkDB vs. RocksDB vs. ToroDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonRethinkDB  Xexclude from comparisonRocksDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDBMS for the Web with a mechanism to push updated query results to applications in realtime.Embeddable persistent key-value store optimized for fast storage (flash and RAM)A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
Key-value store
Document storeKey-value storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score2.84
Rank#106  Overall
#19  Document stores
Score4.00
Rank#84  Overall
#11  Key-value stores
Websitewww.graphengine.iorethinkdb.comrocksdb.orggithub.com/­torodb/­server
Technical documentationwww.graphengine.io/­docs/­manualrethinkdb.com/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperMicrosoftThe Linux Foundation infosince July 2017Facebook, Inc.8Kdata
Initial release2010200920132016
Current release2.4.1, August 20208.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2Open Source infoBSDOpen Source infoAGPL-V3
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 language.NET and CC++C++Java
Server operating systems.NETLinux
OS X
Windows
LinuxAll OS with a Java 7 VM
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometrynoyes infostring, integer, double, boolean, date, object_id
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.nononono
Secondary indexesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIC++ API
Java API
Supported programming languagesC#
C++
F#
Visual Basic
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
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesno
TriggersnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding inforange basedhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyes infousers and table-level permissionsnoAccess rights for users and roles

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Graph Engine infoformer name: TrinityRethinkDBRocksDBToroDB
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