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DBMS > Datomic vs. RDF4J vs. RethinkDB vs. Speedb

System Properties Comparison Datomic vs. RDF4J vs. RethinkDB vs. Speedb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.DBMS for the Web with a mechanism to push updated query results to applications in realtime.An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSRDF storeDocument storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score2.74
Rank#105  Overall
#19  Document stores
Score0.21
Rank#315  Overall
#45  Key-value stores
Websitewww.datomic.comrdf4j.orgrethinkdb.comwww.speedb.io
Technical documentationdocs.datomic.comrdf4j.org/­documentationrethinkdb.com/­docs
DeveloperCognitectSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.The Linux Foundation infosince July 2017Speedb
Initial release2012200420092020
Current release1.0.6735, June 20232.4.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeyesyes infoRDF Schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryno
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesClojure
Java
Java
PHP
Python
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 proceduresyes infoTransaction Functionsyesno
TriggersBy using transaction functionsyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding inforange basedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedAtomic single-document operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnonoyes infousers and table-level permissionsno
More information provided by the system vendor
DatomicRDF4J infoformerly known as SesameRethinkDBSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
DatomicRDF4J infoformerly known as SesameRethinkDBSpeedb
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