Cambridge Semantics Named a Top Data Management and Analysis Company

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Cambridge Semantics Recognized by Database Trends and Analysis Magazine

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Today’s enterprises are implementing a semantic data layer across their complete set of diverse information to extract business intelligence quickly and more efficiently than ever before.

Cambridge Semantics, the leading provider of Big Data management and analytics solutions, today announced that Database Trends and Analysis (DBTA) magazine named the firm to the “DBTA 100: The Companies That Matter Most in Data,” a special list that salutes today’s top companies in data management and analysis.

Now in its fifth year, the DBTA 100 list recognizes companies based on their presence, execution, vision, and innovation in delivering products and services to the marketplace. All 100 companies are highlighted in the June edition of Database Trends and Applications magazine and on

“We’re excited to announce our fifth annual list, as the industry continues to grow and transform,” remarked Thomas Hogan, Group Publisher at Database Trends and Applications. “Today, more than ever, businesses are looking for ways to manage and leverage their information resources to create new opportunities and deliver a real competitive advantage. A fundamental change is taking place where every business is also moving toward becoming a data business. This list seeks to highlight those companies that have been successful in establishing themselves as unique resources for data professionals and stakeholders."

Cambridge Semantics’ Anzo Smart Data Lake (SDL) platform uses semantic graph models to link and contextualize diverse enterprise data at scale at a fraction of the cost of traditional approaches. The graph models in Anzo SDL provide users with self-service data discovery, analytics and visualization capability across all entities and relationships in the data lake. Anzo SDL includes the in-memory graph database, Anzo Graph Query Engine, which recently shattered a previous record of loading and querying a ‘trillion triples’ by 100x.

“We are honored to be included in Data Base Trends and Applications magazine's 'DBTA 100 2017 - The Companies That Matter Most in Data' as enterprises worldwide continue to integrate the capabilities of our solutions,” said Alok Prasad, president of Cambridge Semantics. “Increasingly, today’s enterprises are implementing a semantic data layer across their complete set of diverse information to extract business intelligence quickly and more efficiently than ever before. We provide industries including; Life Sciences Financial Services, Government, and many others the tools to take full advantage of the value in their data and help companies make fully informed business decisions at an accelerated pace.”

The “DBTA 100” is compiled annually by the editorial staff at Database Trends and Applications. This year’s selections can be viewed here:

About Database Trends and Applications
Database Trends and Applications (DBTA), published by Information Today, Inc., is a bimonthly magazine that delivers advanced trends analysis and case studies in data management and analysis developed by a team with more than 25 years of industry experience. Visit for subscription information. DBTA also delivers groundbreaking market research exclusively through its Unisphere Research group.

About Cambridge Semantics
Cambridge Semantics (CSI), the Smart Data Company, is an enterprise smart data management and exploratory analytics company. It enables customers and partners to rapidly build and deploy Smart Data Lake solutions based on its award-winning Anzo Smart Data Platform™ (Anzo SDP).

IT departments and business users gain better understanding and data value through the semantic linking, analysis and management of diverse data whether internal or external, structured or unstructured. The Anzo Smart Data Lake solutions are delivered with increased speed, at big data scale and at a fraction of the implementation costs of using traditional approaches.

The company is based in Boston, Massachusetts.

For more information visit or follow us on Facebook, LinkedIn and Twitter: @CamSemantics.

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