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Read 14 Ontotext reviews and testimonials from customers, explore 55 case studies and customer success stories, and watch 3 customer videos to see why companies chose Ontotext as their Database Management

Ontotext is a global leader in semantic technology and knowledge graph solutions. It helps enterprises lower data management costs by up to 30%, enable data fabric architectures, structure and integrate complex siloed data, making it accessible, interpretable, and reusable. Ontotext is the vendor of GraphDB - a highly scalable and performant RDF database engine used for building knowledge graphs - and a few other distinct products. This makes the company a suitable choice for handling large-scalce datasets, for powerful and cost effective text analysis, and for enterprise knowledge management, where deriving meaning and context from unstructured and semi-structured data is of prime importance.

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Customer Rating Review Scorebased on 2569 reference ratings
4.7/5.0 (2569)

14Testimonials

  • "The training is overall very helpful to get me familiar with GraphDB quickly. The training can help me understand important semantic web and ontology concepts and knowledge, and understand how to utilize and implement the knowledge in GraphDB. The two pre-webinar training introduces semantic web knowledge and then gave me the chance to tackle 12 exercises to get familiar with the learned knowledge. The pre-training helps build a solid foundation for using GraphDB and the webinar. The webinar is very good to introduce OntoRefine for batch generating triples to be inserted into GraphDB, and query the data to get insight. Then an exercise is asking the participants to carry out a similar task. The webinar is overall helpful to get me started with real world tasks. I think that a justification of why to use OntoRefine would be good. It would be helpful to cover other real world tasks for inserting and updating data. Are there other tools for doing these tasks? I would also like to know how to maintain the data consistency and integrity, how to find and deal with bad or inconsistent data, and how to measure the quality of data etc. An introduction to connectors would also be helpful. Overall, many thanks for your training!"

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55 Case Studies

  • Yale Center for British Art - Customer Case Study

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3 Customer Videos

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Additional Ontotext Information & Resources

Read Ontotext Reviews, Testimonials & Customer References from 14 real Ontotext customers.

Browse Ontotext Case Studies, Customer Success Stories, & Customer References from 55 businesses that use Ontotext.

Watch Ontotext Customer Videos to learn why 3 businesses chose Ontotext.