Ontotext GraphDB™

GraphDB™ (formerly OWLIM) – An Enterprise Triplestore with Meaning

Organizations are at a critical juncture in knowledge discovery – there’s a tremendous need to uncover meaning buried inside of unstructured data. Text mining is one technique used to uncover this intelligence. But where is this newly found knowledge stored, updated and queried? GraphDB™ (formerly OWLIM) is the world’s leading RDF Triplestore built on OWL (Ontology Web Language) standards. It stores your data in the form of atomic facts expressed as subjects, predicates and objects which have relationships to other facts. GraphDB is the only triplestore that can perform semantic inferencing at scale allowing users to create new semantic facts from existing facts. It handles massive loads, queries and inferencing in real time.

Ontotext offers four editions of GraphDB™: Standard, Enterprise, Cloud on AWS and Lite. Click into any edition to compare the differences between these four graph databases.


  • On-Premises Edition
  • 10s of Billions of Statements

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  • Replication Cluster
  • Connectors for Full Text Search

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  • Database as a Service
  • Standard Version

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  • Free Semantic Repository
  • 100 Million RDF Triples

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GraphDB™ Lite

For those users interested in managing millions of RDF statements on a desktop computer, GraphDB™ Lite is a database management system licensed free of charge including inferencing and query support. This version allows users to load up 10 100 million triples and performs query and reasoning operations in memory rather than files based indexing.

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With GraphDB™ Lite you get:

  • Creation of new semantic facts using native RDF inferencing.
  • The fastest free semantic repository for loading and querying RDF triples.
  • Reliable data preservation, consistency and integrity.
  • Management of up to 100 million RDF triples on your desktop.
  • Easy deployment using JAVA

GraphDB™ Standard

With  GraphDB™ Standard” users can load billions of RDF statements with inferencing and multi-user query performance. We have optimized the performance of the Standard Edition using “Same As” technology. This allows you to recognize when two different entities across different data sources actually refer to the same entity. Standard also includes a Lucene connector for indexing support

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With GraphDB™ Standard you get:

  • Load, query and infer new facts simultaneously
  • Run against tens of billions of RDF statements on a single server using file based indices
  • Create compact query results using our optimized “same as” technology
  • Infer new semantic facts using powerful reasoning engines
  • Efficiently delete inferred statements that are no longer valid

GraphDB™ Enterprise

GraphDB™ Enterprise has all the features of Standard Edition, plus it has been architected to run on enterprise replication clusters with backup, recovery and failover. “Enterprise” offers industrial strength resilience and linearly scalable parallel query performance with support for load-balancing across any number of servers. Plus connectors for Lucene, Solr and Elasticsearch are included.

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With GraphDB™ Enterprise you get:

  • Run on multiple servers with enterprise resilience.
  • Dynamic cluster configuration.
  • Automatic failover and synchronization with no single point of failure
  • Comes with GraphDB Connectors for full text and faceted search
  • Scales to handle tens of billions of RDF statements

GraphDB™ Cloud

GraphDB™ Cloud brings all the features of our Standard Edition to the cloud. With GraphDB™ Cloud there is no software installation or hardware configuration required. You are up and running in a matter of minutes with the flexibility to choose the server configuration that works best for your needs. GraphDB™ Cloud is provided through the Amazon Web Services (AWS) Marketplace.

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With GraphDB™ Cloud you get:

  • All the features and benefits of GraphDB™ Standard
  • Rapid implementation through Amazon Web Services
  • No need to purchase a license or pay any up front fees
  • Pay for only what you need to get the job done
  • Quickly scale up when you need more processing power

Semantic Respository

In essence, GraphDB™ is a “semantic repository” using ontologies that allow the repository to automatically reason about the data. It works with a flexible and generic physical graph data model allowing for easy interpretation and adoption of new ontologies or metadata on-the-fly. Sesame is one of the most popular semantic repositories that supports RDF(S) and all the major syntaxes and query languages related to it. GraphDB™ is another semantic repository, packaged as a storage and inference layer (SAIL) for Sesame.Learn More

Benchmark Results

Overall performance is just one factor in measuring the effectiveness of RDF graph databases, but we understand it is an important one. Performance speeds affect not only loading and querying times, but also other important functions such as inferencing. GraphDB is engineered to provide optimal results and can be custom tuned to fit your environment. In order to provide results that can be easily understood Ontotext participates in the Linked Data Benchmark Council and utilizes LDBC standards in our benchmarking Learn More