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DBMS > Datomic vs. GraphDB vs. SAP HANA vs. Stardog

System Properties Comparison Datomic vs. GraphDB vs. SAP HANA vs. Stardog

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonSAP HANA  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportIn-memory, column based data store. Available as appliance or cloud serviceEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#114  Overall
#54  Relational DBMS
Score1.32
Rank#144  Overall
#10  Graph DBMS
#5  RDF stores
Score51.34
Rank#20  Overall
#13  Relational DBMS
Score1.26
Rank#148  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.datomic.comgraphdb.ontotext.comwww.sap.com/­products/­hana.htmlwww.stardog.com
Technical documentationdocs.datomic.comgraphdb.ontotext.com/­documentationhelp.sap.com/­hanawww.stardog.com/­docs
DeveloperCognitectOntotextSAPStardog-Union
Initial release2012200020102010
Current release0.9.5951, July 20198.8, January 20192.0 SPS04, April 20197.3.0, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infolimited edition freecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
Appliance or cloud-serviceLinux
macOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesschema-free and OWL/RDFS-schema support
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.nononono infoImport/export of XML data possible
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSPARQL is used as query languageyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP APIGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesClojure
Java
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Server PluginSQLScript, Ruser defined functions and aggregates, HTTP Server extensions in Java
TriggersBy using transaction functionsnoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMaster-master replicationyesMaster-master replication in HA-Cluster
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)Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoyesyesAccess rights for users and roles
More information provided by the system vendor
DatomicGraphDB infoformer name: OWLIMSAP HANAStardog
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
News

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9 July 2020

Star Wars: Knowledge Graph Federation
24 June 2020

Computer Vision Technology for Boosting Retailers’ Marketing & Product Management  
18 June 2020

If Curiosity Cabinets Were Knowledge Graphs
4 June 2020

On the Hunt for Patterns: from Hippocrates to Supercomputers
18 May 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DatomicGraphDB infoformer name: OWLIMSAP HANAStardog
Conferences and events

GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 4pm GMT, 8am PST, 5pm CET, 25 March 2020 (finished)

GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
Webinar, 5 pm CEST / 12 pm EDT / 6 pm EEST, 14 May 2020 (finished)

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

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
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GraphDB 9.1 - the Database to Support High-quality Knowledge Graphs
13 January 2020, PRNewswire

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
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Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
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