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DBMS > GraphDB vs. Stardog vs. Yanza

System Properties Comparison GraphDB vs. Stardog vs. Yanza

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonStardog  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#125  Overall
#8  Graph DBMS
#5  RDF stores
Score1.48
Rank#144  Overall
#11  Graph DBMS
#6  RDF stores
Score0.00
Rank#341  Overall
#31  Time Series DBMS
Websitegraphdb.ontotext.comwww.stardog.comyanza.com
Technical documentationgraphdb.ontotext.com/­documentationwww.stardog.com/­docs
DeveloperOntotextStardog-UnionYanza
Initial release200020102015
Current release8.8, January 20197.3.0, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infofree version 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 infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Windows
Windows
Data schemeschema-free and OWL/RDFS-schema supportschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesno
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 infoImport/export of XML data possibleno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLSPARQL is used as query languageYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresJava Server Pluginuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyes infovia event handlersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication in HA-Clusternone
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 Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yes
User concepts infoAccess controlyesAccess rights for users and rolesno
More information provided by the system vendor
GraphDB infoformer name: OWLIMStardogYanza
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Stardog provides a full featureset to aid in data integration for your complex data....
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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More resources
GraphDB infoformer name: OWLIMStardogYanza
Conferences and events

Hands-on with the JDBC Driver in GraphDB: Bridging relational queries to the graph world
Webinar, 8:00 AM PDT / 11:00 AM EDT / 5:00 PM CEST, 17 September 2020 (finished)

From Strings to Things with the GraphDB 9.4 Mapping UI
Webinar, 5pm CEST / 11am EDT / 8am PDT, 6 October 2020 (finished)

Recent citations in the news

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

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

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update
27 July 2020, PRNewswire

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
16 December 2019, PRNewswire

provided by Google News




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