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DBMS > GraphDB vs. Infobright vs. Sadas Engine

System Properties Comparison GraphDB vs. Infobright vs. Sadas Engine

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonInfobright  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionEnterprise-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.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.70
Rank#111  Overall
#7  Graph DBMS
#5  RDF stores
Score1.02
Rank#173  Overall
#84  Relational DBMS
Score0.00
Rank#354  Overall
#152  Relational DBMS
Websitewww.ontotext.comignitetech.com/­softwarelibrary/­infobrightdbwww.sadasengine.com
Technical documentationgraphdb.ontotext.com/­documentationwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextIgnite Technologies Inc.; formerly InfoBright Inc.SADAS s.r.l.
Initial release200020052006
Current release9.8, June 20218.0
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
Windows
AIX
Linux
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesyes
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilitynono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlDefault 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.fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
GraphDB infoformer name: OWLIMInfobrightSadas Engine
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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More resources
GraphDB infoformer name: OWLIMInfobrightSadas Engine
Conferences and events

Effective Sanctions Compliance with Ontotext
Webinar, 8am PT / 11am ET / 4pm BST / 5pm CEST, 13 April 2022 (finished)

Recent citations in the news

Ontotext Demo Day
20 April 2022, PR Newswire

Ontotext Webinar - GraphDB as Company Data Central
10 March 2022, PR Newswire

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PR Newswire

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PR Newswire

Ontotext and Synaptica join forces with a shared product roadmap to speed up the development of Enterprise Knowledge Graphs.
16 November 2020, PR Newswire

provided by Google News

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