BOSTON (PRWEB) June 15, 2020
Company recognized for leveraging knowledge graphs and accelerated data integration for enterprise scale data management and analytics
Cambridge Semantics, the leading provider of graph-driven modern data integration software for the enterprise data fabric, today announced that it has been recognized by Database Trends and Applications in the eighth annual “DBTA 100: The Companies That Matter Most in Data,” a special list that salutes today’s top companies in data management and analysis. From long-standing industry veterans, to new startups disrupting the status quo, this list recognizes companies based on their presence, execution, vision and innovation in delivering products and services to the marketplace.
“Cambridge Semantics is honored to be included in Database Trends and Applications Magazine's list of companies that matter most in data, which showcases a wide variety of vendors that are uniquely addressing the interconnected demands for hardware, software, and services that help customers unlock their data’s potential,” said Chuck Pieper, Chairman & CEO of Cambridge Semantics. ‘’Companies today realize that exploiting the full value of their enterprise data enables expanded use of analytics and marks an essential competitive battleground of the future.”
The “DBTA 100” list is compiled annually by the editorial staff at Database Trends and Applications. This year’s selections can be viewed in the June 2020 edition of Database Trends and Applications Magazine and on http://www.dbta.com.
“We’re excited to announce our eighth annual list as the industry continues to grow and advance,” remarked Thomas Hogan, Group Publisher at Database Trends and Applications. “Now, more than ever, businesses are looking for ways transform how they operate and deliver value to customers with greater agility, efficiency and innovation. This list highlights companies that have been successful in establishing themselves as unique resources for data professionals and stakeholders."
Cambridge Semantics’ Anzo platform enables anyone to find, connect and blend any enterprise data into analytics-ready datasets. The solution is a critical component of digital transformation projects across multiple industries including Life Sciences, Financial Services, Manufacturing, Government and other data intensive sectors. The platform provides the tools for these industries to take full advantage of the value in their data and help companies make fully informed business decisions at an accelerated pace.
For more information on data management, visit http://www.cambridgesemantics.com
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 http://www.dbta.com for subscription information. DBTA also delivers groundbreaking market research exclusively through its Unisphere Research group.
About Cambridge Semantics
Cambridge Semantics Inc., The Smart Data Company®, is a modern data management and enterprise analytics software company that enables seamless access, integration and analysis of all enterprise data via a graph-driven data fabric architecture.
Cambridge Semantics award-winning Anzo® platform is a modern data discovery and integration layer to connect and bring meaning to enterprise data from any system across the enterprise. The company’s AnzoGraph® DB, based on open standards, is the fastest & most scalable graph database supporting data integration and rich analysis with graph algorithms, data warehouse-style analytics, feature engineering for Machine Learning and more.
The company delivers products and solutions that enable IT departments and business users across Life Sciences, Financial Services, Government, Manufacturing, and other industries to accelerate data delivery and to provide meaningful insights across the organization at hyper-speed and scale.
Visit http://www.cambridgesemantics.com or follow us on Facebook, LinkedIn and Twitter: @CamSemantics.