DISQOVER sits at the heart of enterprise data and analytics ecosystems, providing a consistent semantic and knowledge framework that adds value to every other component. Interoperability is a core principle of our architecture at every level, from data ingestion to the knowledge graph to the user experience.
Robust data integration: connecting diverse technologies
For ingesting data, DISQOVER is capable of connecting to a wide range of enterprise technologies and formats, from cloud providers like Azure Blob storage and Amazon S3 to more traditional formats. Integrations with data providers such as CENTree, Biorelate and Cortellis, and text mining solutions such as TERMite and Amazon Comprehend further accelerate time to value.
Advanced data access: leveraging graph technologies for AI and analytics
Graph data itself can be accessed in standard W3C compliant formats such as TTL RDF, allowing users to unlock DISQOVER's full value through AI/ML workflows in e.g. Azure ML or Tensorflow; graph analytics providers such as Anzo, AWS Neptune or Neo4J, and downstream visual analytics solutions such as Tableau and PowerBI.
Empowering data science: comprehensive API and library support
DISQOVER provides full API access with additional Python libraries, empowering data scientists to carry out rapid analysis in electronic notebooks, Python or R, and supporting cross application journeys through integrations with other tools or bespoke solutions.
Connect your enterprise data ecosystem with DISQOVER
