NEW YORK and SOFIA, Bulgaria, Dec. 3, 2015 (GLOBE NEWSWIRE) -- Ontotext, the developer of GraphDB™, is excited to announce a new addition to the GraphDB family of products - GraphDB Free Edition. GraphDB Free is a robust semantic graph database from Ontotext available for download at no cost.
The GraphDB family of engines provides the core infrastructure for smart data management solutions. In order to lower the cost of integration of diverse data from multiple sources, it facilitates efficient implementation of holistic data views and flexible data modelling. GraphDB's inference capabilities enable unprecedented easе in the realization of analytical queries and the discovery of hidden relationships and patterns, despite the differences between the schemata and the vocabularies used across the different sources. Taken together, these capabilities foster various aspects of data governance, such as data provenance and cross-application data publishing and consumption.
GraphDB Free edition is a fully functional member of the GraphDB family. Its only limitation is that it can handle no more than two queries in parallel. GraphDB Free is appropriate for systems that require massive volumes of data, as it applies no constraints on the volumes of loaded data. It includes all the advanced features of GraphDB that make it more than a plain RDF triplestore and put it ahead of the competition: patent-pending inference implementation, geo-spatial indices, owl:sameAs optimization for more efficient integration of linked data, comprehensive full-text-search integration and many others.
GraphDB Free is a perfect starting point for smart data proof-of-concepts and for projects that require an on premise or embedded semantic graph database (cloud options are also available from Ontotext). Although GraphDB Free meets production deployment requirements primarily for systems with moderate load and availability requirements, if needed, it can be easily upgraded at deployment time to its unconstrained alternative GraphDB Standard. For heavy load business critical cluster deployments it can be upgraded to GraphDB Enterprise. This makes GraphDB Free an ideal choice for non-critical deployments, but also for laying the developmental foundations of smart data systems at all levels of ambition.
Atanas Kiryakov,Ontotext CEO, stated, "GraphDB 6.6 is a very important release for us. While there are not striking new features, it delivers a mass of fixes and improvements inspired by the feedback that we received from our clients. Many improvements are the result of the expanding test suite and cluster testing infrastructure. In the recent months we made a massive investment in this direction to bring GraphDB 6.6 to a higher level of robustness and reliability. The most important news for GraphDB 6.6, however, is the new GraphDB Free edition. GraphDB Free represents our desire to make it as easy as possible for everyone to get started with a robust, fully-featured semantic graph database. We did a lot to eliminate all sort of potential complications, regarding acquiring and starting up with GraphDB Free."
From a technical standpoint, GraphDB Free is designed as an enterprise-grade semantic repository system. Like GraphDB Standard, it is a native 100% Java file-based graph database, compliant with SPARQL and other W3C standards (thus called RDF triplestore). It also supports graph traversal and analytics through Gremlin. In contrast to GraphDB Standard, GraphDB Free is limited to parallel evaluation of two queries only, while still all incoming queries are properly queued and executed.
Even with this performance limitation, GraphDB Free is well suited for production usage in systems with moderate load or such without strict requirements for minimal response times. For instance, GraphDB Free scores 17 queries in parallel with 3.5 update transactions per second when benchmarked on 256 million statements scale factor of the Semantic Publishing Benchmark on a single CPU server with 64GB of RAM. As a free offering, GraphDB Free comes to replace GraphDB Lite - an in-memory triplestore that lacked some of the features and the comprehension of the other GraphDB editions.
GraphDB Free edition is available as part of the new release of GraphDB 6.6. This version delivers over 20 improvements concerning usability, performance and cluster operation efficiency and more than 40 fixes across all types of functionality. Most of these fixes and improvements are direct result of feedback from clients that use GraphDB in a wide range of setups - all the way from mission critical multi-data-center cluster deployments to smaller, but diverse and often very advanced applications.
About Ontotext
Ontotext provides a complete semantic platform transforming how organizations identify meaning across massive amounts of unstructured data. Ontotext blends text mining, powerful SPARQL queries, semantic annotation and semantic search with GraphDB, an RDF graph database that infers new meaning at scale. Ontotext S4, The Self-Service Semantic Suite, allows developers to build text mining and semantic applications in the cloud.
About GraphDB
GraphDB™ is the only native RDF triplestore with the ability to perform semantic inferencing at scale. Ontotext launched GraphDB™ as OWLIM in 2004 and the product has been successfully deployed by organizations around the world including the BBC, AstraZeneca and the Getty Trust. GraphDB™ is available in three versions: GraphDB™ Free; GraphDB™ Standard (also available in a cloud-based implementation), and GraphDB™ Enterprise that adds clustering capabilities.
Some of the major characteristics of the RDF graph databases and particularly GraphDB can be summarized as follows:
- Model data so that it is fully interlinked and the available relations are easy to explore.
- Represent domain specific business logic as an explicit part of the data model and extract new data items based on rules.
- Reduce the risk of vendor lock-in, complying to W3C standards such as RDF(S), OWL, SPARQL.
- Use different schemata for building diverse data views and queries without manipulating the data itself.
- Utilize datasets available in the Linked Open Data cloud for free.
- Support data interchange by publishing and interlinking data across applications.