Cambridge Semantics Offerings Selected as Finalist for SIIA CODiE™ Awards

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Anzo Smart Data Lake® Selected as Finalist in the Best Big Data Tools & Platform Category and AnzoGraph™ Selected as Finalist in the Best Emerging Technology Category

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Cambridge Semantics, the leading provider of a universal semantic layer for big data management and connected data analytics solutions, today announced that its Anzo Smart Data Lake® and AnzoGraph™ database products were named as 2018 SIIA CODiE™ Awards finalists in the Best Big Data Tools & Platform and Best Emerging Technology categories. Finalists represent the best products, technologies, and services in software, information and business technology.

Cambridge Semantics’ Anzo Smart Data Lake 4.0 launched in October 2017 to great acclaim and AnzoGraph™, which launched in February 2018, is a native graph-based parallel query database engine designed for interactive analysis of diverse data. AnzoGraph can query and analyze trillions of relationships and run 111x faster than its nearest competitor. A free preview online version is available on AWS.

“We are once again honored that the SIAA CODiE awards have recognized the truly innovative products and solutions we are delivering to our clients. Anzo Smart Data Lake has emerged as the only ‘data source to dashboard’ product capable of delivering a comprehensive and trusted view of enterprise data,” said Alok Prasad, president of Cambridge Semantics. “AnzoGraph has been deployed as a part of the Anzo Smart Data Lake at several Fortune 500 companies, and as the solution matures and becomes field proven, we’re proud to deploy it as a standalone graph-based big data product capable of delivering analytic processing never thought possible.”

Data-intensive industries can use Anzo Smart Data Lake and AnzoGraph as an essential analytic offering to drive quicker access to business insights. These include sophisticated feature sets for training or operationalizing machine learning algorithms in industries for drug discovery, pharmacovigilance, fraud analytics, and risk analytics, among others.

“The 2018 CODiE Award finalists are some of the most innovative, high-impact products in the market. We are happy to recognize these products and the power they have to transform the future of how we do business,” said Ken Wasch, President of SIIA.

The SIIA CODiE Awards are the premier awards for the software and information industries and have been recognizing product excellence for over 30 years. The awards offer 91 categories that are organized by industry focus of education technology and business technology.

Anzo Smart Data Lake and AnzoGraph were honored as two of 167 finalists across the 52 business technology categories. Winners will be announced during the Business Technology CODiE Award Celebration at the SIIA Annual Conference & CODiE Awards, June 12 in San Francisco. Details about each finalist are listed at http://www.siia.net/codie/Finalists

AnzoGraph is available for a free preview at https://www.cambridgesemantics.com/product/anzograph/.

About Cambridge Semantics
Cambridge Semantics Inc., The Smart Data Company®, is a big data management and enterprise analytics software company that offers a universal semantic layer to connect and bring meaning to all enterprise data. Its software, the Anzo Smart Data Lake®, allows IT departments and their business users to semantically link, analyze and manage diverse data whether internal or external, structured or unstructured, with speed, at big data scales and at the fraction of the implementation costs of using traditional approaches.

Cambridge Semantics is based in Boston, Massachusetts.
For more information visit http://www.cambridgesemantics.com or follow us on Facebook, LinkedIn and Twitter: @CamSemantics.

About the SIIA CODiE™ Awards
The SIIA CODiE Awards is the only peer-reviewed program to showcase business and education technology’s finest products and services. Since 1986, thousands of products, services and solutions have been recognized for achieving excellence. For more information, visit siia.net/CODiE.

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