Cambridge Semantics, provider of a universal semantic layer for big data management and connected data analytics solutions, is previewing AnzoGraph, a native graph-based parallel query engine available for analyzing data from Amazon Neptune, the new graph database service from Amazon Web Services (AWS).
Amazon Neptune is a graph database service optimized for reading and writing billions of relationships. AnzoGraph aims to complement Amazon Neptune’s transactional graph-based online transaction processing (GOLTP), allowing AWS users to perform ad hoc interactive queries across any combination of diverse sources by interconnecting data at any scale—whether it originates from Amazon Neptune, relational databases, or text from unstructured sources—to reach business insights quickly and extract sophisticated feature sets for training or operationalizing machine learning algorithms. According to Cambridge, customers leverage AnzoGraph for these purposes using an extended version of the open standard W3C SPARQL/RDF protocols, tools, and formats.
AnzoGraph, Cambridge's GOLAP offering will allow users of Amazon Neptune and other graph databases to aggregate and analyze data across diverse connected datasets on AWS with speed, security and agility, said Chuck Pieper, CEO of Cambridge Semantics. AnzoGraph has been deployed in production at large customers as part of the Anzo Smart Data Lake offering available on AWS, he noted, and this has allowed these customers to improve time-to-results and insight with their confidential datasets, as demonstrated by a standardized industry benchmark of loading and querying over one trillion facts on a public cloud more than 100 times faster than the previous record.
Cambridge Semantics’ AnzoGraph for Amazon Neptune is currently available for select preview customers.
Registration can be found at https://info.cambridgesemantics.com/anzograph-preview.
For more information, visit www.cambridgesemantics.com.