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DBMS > GraphDB vs. Riak KV vs. Sphinx

System Properties Comparison GraphDB vs. Riak KV vs. Sphinx

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonRiak KV  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportDistributed, fault tolerant key-value storeOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Key-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score5.56
Rank#55  Overall
#8  Key-value stores
Score7.39
Rank#47  Overall
#5  Search engines
Websitegraphdb.ontotext.combasho.com/­products/­riak-kvsphinxsearch.com
Technical documentationgraphdb.ontotext.com/­documentationsphinxsearch.com/­docs
DeveloperOntotextBasho TechnologiesSphinx Technologies Inc.
Initial release200020092001
Current release8.8, January 20192.1.0, April 20153.1.1, October 2018
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyesnono
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.nono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesrestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
Native Erlang Interface
Proprietary protocol
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Server PluginJavaScript and Erlangno
Triggersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
User concepts infoAccess controlyesnono
More information provided by the system vendor
GraphDB infoformer name: OWLIMRiak KVSphinx
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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