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DBMS > BigObject vs. GraphDB vs. mSQL vs. Valentina Server

System Properties Comparison BigObject vs. GraphDB vs. mSQL vs. Valentina Server

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEnterprise-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 RDBMSObject-relational database and reports server
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedGraph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitebigobject.iowww.ontotext.comhughestech.com.au/­products/­msqlwww.valentina-db.net
Technical documentationdocs.bigobject.iographdb.ontotext.com/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperBigObject, Inc.OntotextHughes TechnologiesParadigma Software
Initial release2015200019941999
Current release10.4, October 20234.4, October 20215.7.5
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infofree licenses can be providedcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VM
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
SQL infoSupport of SQLSQL-like DML and DDL statementsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresLuawell-defined plugin interfaces; JavaScript server-side extensibilitynoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)none
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesno
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoDefault 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.nofine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectGraphDB infoformer name: OWLIMmSQL infoMini SQLValentina Server
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» 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 data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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More resources
BigObjectGraphDB infoformer name: OWLIMmSQL infoMini SQLValentina Server
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