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Cambridge Semantics and SPARQL City Team Up for Big Data Solutions

Cambridge-Semantics_logoCambridge Semantics, a leading provider of smart data solutions driven by Semantic Web technology, and SPARQL City, providers of a high performance scalable Hadoop-based graph database infrastructure, announced a collaboration to jointly offer an integrated graph analytics solutions with semantic understanding to help enterprises get better understanding and value from big data.

Cambridge Semantics offers the award-winning Anzo Smart Data Platform (Anzo SDP), leveraged by customers and partners for building interactive Smart Data solutions that help enterprises rapidly discover, understand, combine, analyze, link and manage data from diverse sources, both from within and across organizational boundaries. SPARQL City’s Hadoop-based graph analytics engine provides a simple and powerful way for people to query semi-structured and structured data and find more nuanced relationships within and across these datasets in easy-to-grasp graphical representations.

As data continues to grow, our customers are continually seeking affordable approaches to handle the scale and speed of querying to tackle larger and more complex problems,” said Alok Prasad, president of Cambridge Semantics. “The SPARQL City team has a very successful track record in building highly scalable, performant analytic systems and that is enabling us to jointly solve new problems for our customers at big data scale.”

The combination of Cambridge Semantics’ Anzo SDP and SPARQL City’s graph analysis capabilities can benefit any business seeking insight from big data search, analysis and data management, including:

Pharma and life sciences: The joint solution allows for more agile, big data scale, business self-service applications for R&D drug discovery and investigations, competitive intelligence, clinical trial data processing, and creating various investigative and graph-based solutions. Enterprises can simply add additional nodes to handle more data as their data needs grow.

Financial services: The combined platforms can allow for more agile, enterprise-wide, business self-service for regulatory reporting, compliance and risk analytics, investigative solutions for fraud/insider trading, and mining of diverse data sources both inside and outside of the enterprise.

Cambridge Semantics has built a compelling smart data platform that allows their customers to rapidly work with all of their data to uncover new and more meaningful insights,” said Barry Zane, president and CEO of SPARQL City. “The marriage of Anzo Smart Data Platform with our standards-based graph analytics engine will enable our customers to more quickly and easily translate untapped raw analytical potential in areas involving unstructured data and/or graph analytics into business impact at real-world scale.”

Both companies’ solutions are aligned with standards set by the World Wide Web Consortium (W3C).

 

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