Big-data usually resides outside enterprise data life-cycles. The tools, processes, security, and governance for big-data end up following parallel (and usually, untrodden) paths from the ‘mainstream’ enterprise data. This prevents enterprises from using big-data with the same efficacy as, say, warehouse data. Silos proliferate.

We present HELIOS, a Big Data Management System that extends traditional management to big-data, while fully supporting new capabilities such as semantics and big-analytics.

• HELIOS provides full semantics, security, and data management out of the box.
• HELIOS combines a document store, wide column store, and key-value store into one seamless system. This allows enterprises to create comprehensive and cohesive data architectures for their ERP, log, analytical-output, heavy-object, unstructured, and other data.
• Users can create value rapidly through rich indexing options, in-database integration of Apache Spark, Map Reduce, ETL, and custom methods.
• Drastically lowered costs of big-data development and ownership.

HELIOS is currently being used by the U.S. intelligence community, commercial users, and academia.