Cambridge Semantics Announces Graph-Based Online Analytics Support For Amazon Neptune, Graph Databases

February 16, 2018

By Bio-IT World Staff

February 16, 2018 | Cambridge Semantics announced a preview of AnzoGraph, a native graph-based parallel query engine available for analyzing data from Amazon Neptune, the new fully managed graph database service from Amazon Web Services (AWS).

Amazon Neptune is a purpose-built, high-performance reliable graph database service optimized for reading and writing billions of relationships intended to make it easy for enterprises to benefit from applications of richly connected data.

AnzoGraph complements Amazon Neptune’s transactional Graph-Based Online Transaction Processing (GOLTP) by offering unprecedented scale for both complex graph traversal queries and data warehouse style aggregation analytics. AnzoGraph allows 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. Customers leverage AnzoGraph for these purposes using an extended version of the open-standard W3C SPARQL/RDF protocols, tools, and formats.

“AnzoGraph, our Graph Online Analytical Processing (GOLAP) offering, will allow users of Amazon Neptune and other graph databases to aggregate and analyze data across diverse connected data sets on AWS with speed, security, and agility,” said Chuck Pieper, CEO of Cambridge Semantics, in a written statement following the announcement. “AnzoGraph has been deployed in production at large customers as part of our Anzo Smart Data Lake offering available on AWS. AnzoGraph has allowed these customers to dramatically improve time-to-results and insight with their confidential data sets, as exemplified by a standardized industry benchmark of loading and querying over one trillion facts on a public cloud over 100X faster than the previous record.”