Semantic platform provider Ontotext announced today the release of the newest version of its semantic graph database, GraphDB.
The newest version makes database setup and data access easier, according to the press release, improving implementation and monitoring of services, and is updated to handle latest versions of the W3C standards and third-party open source libraries.
Full press release below:
Ontotext Releases GraphDB 7 to Make Smart Data Management Even Easier
New enhanced GraphDB ver. 7 empowers enterprises, users and developers with even easier-to-use tools for Big Data analytics
LONDON (April 19, 2016) – Ontotext, the developer of GraphDB™, is proud to release the new version 7 of its industry-leading semantic graph database. GraphDB 7 boasts major enhancements specifically designed to deliver even easier-to-use database management to organizations, users and developers. GraphDB’s ver. 7 makes database setup and data access even easier, further improves implementation and monitoring of business critical services, and is updated to use and support the latest versions of the relevant W3C standards and third-party open source libraries integrated with GraphDB.
GraphDB is a semantic graph database that serves organizations to store, organize and manage content and data in the form of semantically enriched smart data. A non-relational (NoSQL) database, GraphDB handles massive loads, queries and inferencing in real time, allowing for seamless integration of disparate data silos and a holistic 360-degree view of information.
The new release offers new tools to access and explore data, eliminating the need to know everything about the dataset before start working with it. GraphDB 7 enables users to navigate their way through third-party and any other dataset regardless of data volumes, which makes it a powerful Big Data analytics tool. Ver.7 offers visual exploration of the loaded data schema – ontology, interactive query builder for better entity retrieval, and full support for RDF 1.1 allowing smooth import of a huge number of public Open Data as well as proprietary Linked Datasets.
GraphDB 7 allows easier installation and database setup in a one-click installation step. Setting-up the new version is as easy as the setup of any other application on a PC or server. Ver. 7 has a simplified deployment model with every feature necessary embedded. GraphDB 7 runs as a native application on Windows, MacOS and Linux-based OS.
GraphDB 7 improves efficiency in monitoring of business critical services. The new version of the semantic graph database adds automated SLA monitoring and has new intuitive Database health checks. Ver.7 features a powerful yet simpler server side database configuration over HTTP and improved database logging.
From a technical standpoint, GraphDB 7 integrates the latest versions of all third-party open source libraries integrated with GraphDB. GraphDB 7 is upgraded to Sesame 2.8 with all changes in its API. It runs with the latest versions of Lucene, Solr and Elastic and applies the latest W3C standards.
Get your GraphDB 7 Free copy http://ontotext.com/products/graphdb/graphdb-7-now-available/?utm_source=presrelease&utm_medium=referral&utm_campaign=graphdb7 .
Ontotext provides a complete semantic platform transforming how organizations identify meaning across massive amounts of structured and unstructured data. Ontotext blends text mining, powerful semantic graph 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.
GraphDB™ is the only native RDF semantic graph database with the ability to perform semantic integration and 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. Key capabilities include:
• Data integration and interlinking – The ability to recognize entities and create single reference point to them across multiple sources holds great promise.
• Single interconnected information space formed by structured data and text documents. – Materialised connections between free flowing, unstructured content, and data facts stored as database entities to denote hidden relationships.
• Linked Data Compatibility – Knowledge often means applying information that is outside corporate walls. When applied correctly, semantic facts can enhance enterprise knowledge management and data discovery applications.
• W3C standards compliance – The ecosystem of standards defined by the W3C consortium for graph databases such as Resource Description Framework (RDF) and SPARQL query language, build within community processes that involve all major data management vendors (IBM, ORACLE, HP, Microsoft) to name just few.
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