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DBMS > Cubrid vs. GraphDB vs. mSQL vs. Sphinx

System Properties Comparison Cubrid vs. GraphDB vs. mSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.mSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#151  Overall
#73  Relational DBMS
Score2.49
Rank#106  Overall
#6  Graph DBMS
#4  RDF stores
Score1.67
Rank#133  Overall
#64  Relational DBMS
Score7.75
Rank#54  Overall
#5  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
www.ontotext.comhughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationcubrid.org/­manualsgraphdb.ontotext.com/­documentationsphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationOntotextHughes TechnologiesSphinx Technologies Inc.
Initial release2008200019942001
Current release11.0, January 20219.8, June 20214.3, October 20203.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJavaCC++
Server operating systemsLinux
Windows
All OS with a Java VM
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Stored Procedureswell-defined plugin interfaces; JavaScript server-side extensibilitynono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)none
Foreign keys infoReferential integrityyesyes infoConstraint checkingnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.nono
More information provided by the system vendor
CubridGraphDB infoformer name: OWLIMmSQL infoMini SQLSphinx
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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CubridGraphDB infoformer name: OWLIMmSQL infoMini SQLSphinx
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