GraphDB™ Standard

GraphDB™ Standard allows organizations to manage tens of billions of semantic triples on one commodity server.  RDF statements can be loaded and queried at scale simultaneously.  GraphDB™ Standard performs querying and reasoning operations using file based indices.   The inferencing engine also supports “Same As” functionality allowing for the identification of two more URIs that represent the same entity even when they reside in different documents.  In the table below, you can review a summary of the features supported in our Standard edition including the retraction of RDF statements.  Free evaluations of GraphDB™ Standard are granted based on your requirements. For additional detail on GraphDB™ Standard refer to our documentation:   GraphDB™ Standard Fact Sheet and Documentation.

Ontotext View More Below

GraphDB™ Lite, Standard and Enterprise Editions

GraphDB™ is the only triplestore with enterprise resilient features and semantic inferencing.   It runs at scale without degradation in loading and query times.  We offer three versions of our triplestore.   GraphDB™ Lite is free and allows you to manage up to 100 million triples on a desktop computer.   GraphDB™ Standard  manages tens of billions of triples on one commodity server.   GraphDB™ Enterprise has all of the features of our standard edition and enterprise replication running in a cluster.  Compare the versions below.

GraphDB Feature Comparison

  • Feature
  • Free semantic repositoryFree semantic repository
  • Manage up to 100 million RDF statementsManage up to 100 million RDF statements
  • Manage 10's of billions of RDF statements on a single serverManage 10's of billions of RDF statements on a single server
  • Manage 10's billions of RDF statements on an enterprise clusterManage 10's billions of RDF statements on an enterprise cluster
  • Full SPARQL 1.1 supportFull SPARQL 1.1 support
  • Easy deployment using JAVAEasy deployment using JAVA
  • Full standard-compliant reasoning for RDFS, OWL 2 RL and QL Full standard-compliant reasoning for RDFS, OWL 2 RL and QL
  • Support for custom reasoning rule-sets; performance optimized rule-setsSupport for custom reasoning rule-sets; performance optimized rule-sets
  • Import/export of RDF syntaxes through Sesame: XML, N3, N-Triples, N-Quads, Turtle, TriG, TriXImport/export of RDF syntaxes through Sesame: XML, N3, N-Triples, N-Quads, Turtle, TriG, TriX
  • Compatible with Sesame 2Compatible with Sesame 2
  • Performs query and reasoning operations in memoryPerforms query and reasoning operations in memory
  • Performs query and reasoning operations using file-based indicesPerforms query and reasoning operations using file-based indices
  • Reliable data preservation, consistency and integrityReliable data preservation, consistency and integrity
  • High performance load, query and inference simultaneouslyHigh performance load, query and inference simultaneously
  • Optimized support for data integration through owl:sameAsOptimized support for data integration through owl:sameAs
  • Compatible with Jena including a built in adaptorCompatible with Jena including a built in adaptor
  • API plugin framework, public classes and interfaces. Developers can extend GraphDB with their own logic and integration with text mining pipelinesAPI plugin framework, public classes and interfaces. Developers can extend GraphDB with their own logic and integration with text mining pipelines
  • Efficient retraction of inferred statements upon updateEfficient retraction of inferred statements upon update
  • Special indices for efficient geo-spatial contraints (near-by, within, distance)Special indices for efficient geo-spatial contraints (near-by, within, distance)
  • RDF Rank to order query results by relevance or other measuresRDF Rank to order query results by relevance or other measures
  • Notification allowing clients to react to statements in the update streamNotification allowing clients to react to statements in the update stream
  • Query optimizer allowing for the evaluation of different query plansQuery optimizer allowing for the evaluation of different query plans
  • GraphDB Workbench to create repositories, load and export data, execute SPARQL queries and updates, manage user accounts and control user access roles.GraphDB Workbench to create repositories, load and export data, execute SPARQL queries and updates, manage user accounts and control user access roles.
  • Dynamically configure clusters with replicationDynamically configure clusters with replication
  • Automatic failover, synchronization and load balancing to maximize cluster utilizationAutomatic failover, synchronization and load balancing to maximize cluster utilization
  • Connectors for full-text search and NoSQL (Lucene, SoLR, Elasticsearch)Connectors for full-text search and NoSQL (Lucene, SoLR, Elasticsearch)
  • Scale out concurrent query processing allowing query throughput to scale proportionally to the number of cluster nodesScale out concurrent query processing allowing query throughput to scale proportionally to the number of cluster nodes
  • Cluster remaining fully functional in the event of any node failing Cluster remaining fully functional in the event of any node failing
  • Add or remove nodes at any time automaticallyAdd or remove nodes at any time automatically
  • GraphDB™
    Lite

  • Free semantic repositoryyes
  • Manage up to 100 million RDF statementsyes
  • Manage 10's of billions of RDF statements on a single server
  • Manage 10's billions of RDF statements on an enterprise cluster
  • Full SPARQL 1.1 supportyes
  • Easy deployment using JAVAyes
  • Full standard-compliant reasoning for RDFS, OWL 2 RL and QL yes
  • Support for custom reasoning rule-sets; performance optimized rule-setsyes
  • Import/export of RDF syntaxes through Sesame: XML, N3, N-Triples, N-Quads, Turtle, TriG, TriXyes
  • Compatible with Sesame 2yes
  • Performs query and reasoning operations in memoryyes
  • Performs query and reasoning operations using file-based indices
  • Reliable data preservation, consistency and integrity
  • High performance load, query and inference simultaneously
  • Optimized support for data integration through owl:sameAs
  • Compatible with Jena including a built in adaptor
  • API plugin framework, public classes and interfaces. Developers can extend GraphDB with their own logic and integration with text mining pipelines
  • Efficient retraction of inferred statements upon update
  • Special indices for efficient geo-spatial contraints (near-by, within, distance)
  • RDF Rank to order query results by relevance or other measures
  • Notification allowing clients to react to statements in the update stream
  • Query optimizer allowing for the evaluation of different query plans
  • GraphDB Workbench to create repositories, load and export data, execute SPARQL queries and updates, manage user accounts and control user access roles.
  • Dynamically configure clusters with replication
  • Automatic failover, synchronization and load balancing to maximize cluster utilization
  • Connectors for full-text search and NoSQL (Lucene, SoLR, Elasticsearch)
  • Scale out concurrent query processing allowing query throughput to scale proportionally to the number of cluster nodes
  • Cluster remaining fully functional in the event of any node failing
  • Add or remove nodes at any time automatically
  • GraphDB™
    Standard

  • Free semantic repository
  • Manage up to 100 million RDF statementsyes
  • Manage 10's of billions of RDF statements on a single serveryes
  • Manage 10's billions of RDF statements on an enterprise cluster
  • Full SPARQL 1.1 supportyes
  • Easy deployment using JAVAyes
  • Full standard-compliant reasoning for RDFS, OWL 2 RL and QL yes
  • Support for custom reasoning rule-sets; performance optimized rule-setsyes
  • Import/export of RDF syntaxes through Sesame: XML, N3, N-Triples, N-Quads, Turtle, TriG, TriXyes
  • Compatible with Sesame 2yes
  • Performs query and reasoning operations in memory
  • Performs query and reasoning operations using file-based indicesyes
  • Reliable data preservation, consistency and integrityyes
  • High performance load, query and inference simultaneouslyyes
  • Optimized support for data integration through owl:sameAsyes
  • Compatible with Jena including a built in adaptoryes
  • API plugin framework, public classes and interfaces. Developers can extend GraphDB with their own logic and integration with text mining pipelinesyes
  • Efficient retraction of inferred statements upon updateyes
  • Special indices for efficient geo-spatial contraints (near-by, within, distance)yes
  • RDF Rank to order query results by relevance or other measuresyes
  • Notification allowing clients to react to statements in the update streamyes
  • Query optimizer allowing for the evaluation of different query plansyes
  • GraphDB Workbench to create repositories, load and export data, execute SPARQL queries and updates, manage user accounts and control user access roles.yes
  • Dynamically configure clusters with replication
  • Automatic failover, synchronization and load balancing to maximize cluster utilization
  • Connectors for full-text search and NoSQL (Lucene, SoLR, Elasticsearch)
  • Scale out concurrent query processing allowing query throughput to scale proportionally to the number of cluster nodes
  • Cluster remaining fully functional in the event of any node failing
  • Add or remove nodes at any time automatically
  • GraphDB™
    Enterprise

  • Free semantic repository
  • Manage up to 100 million RDF statementsyes
  • Manage 10's of billions of RDF statements on a single serveryes
  • Manage 10's billions of RDF statements on an enterprise clusteryes
  • Full SPARQL 1.1 supportyes
  • Easy deployment using JAVAyes
  • Full standard-compliant reasoning for RDFS, OWL 2 RL and QL yes
  • Support for custom reasoning rule-sets; performance optimized rule-setsyes
  • Import/export of RDF syntaxes through Sesame: XML, N3, N-Triples, N-Quads, Turtle, TriG, TriXyes
  • Compatible with Sesame 2yes
  • Performs query and reasoning operations in memory
  • Performs query and reasoning operations using file-based indicesyes
  • Reliable data preservation, consistency and integrityyes
  • High performance load, query and inference simultaneouslyyes
  • Optimized support for data integration through owl:sameAsyes
  • Compatible with Jena including a built in adaptoryes
  • API plugin framework, public classes and interfaces. Developers can extend GraphDB with their own logic and integration with text mining pipelinesyes
  • Efficient retraction of inferred statements upon updateyes
  • Special indices for efficient geo-spatial contraints (near-by, within, distance)yes
  • RDF Rank to order query results by relevance or other measuresyes
  • Notification allowing clients to react to statements in the update streamyes
  • Query optimizer allowing for the evaluation of different query plansyes
  • GraphDB Workbench to create repositories, load and export data, execute SPARQL queries and updates, manage user accounts and control user access roles.yes
  • Dynamically configure clusters with replicationyes
  • Automatic failover, synchronization and load balancing to maximize cluster utilizationyes
  • Connectors for full-text search and NoSQL (Lucene, SoLR, Elasticsearch)yes
  • Scale out concurrent query processing allowing query throughput to scale proportionally to the number of cluster nodesyes
  • Cluster remaining fully functional in the event of any node failing yes
  • Add or remove nodes at any time automaticallyyes

Download this chart in PDF format to easily print or save

Additional Resources

The Latest White Paper from Ontotext: "The Truth About Triplestores"

Download Whitepaper

GraphDB: At Last, the Meaningful Database

 

Download Report

OpenPolicy: Semantic Technology Accelerates Document Search

Download White Paper