Enterprises today store and analyze more data than ever before. Traditional database system excel at analyzing structured data. Hadoop was designed to store and reliably analyze both structured and unstructured data. Today, many enterprises deploy Hadoop as part of their data processing infrastructure which allows them to analyze and combine old and new data.

Hadoop runs on commodity hardware and machines can be added and removed without disrupting the overall system. The architecture continuously monitors the health of the system and in case of failures takes corrective action. Hadoop's architecture is built from the ground up for scale utilizing low-cost commodity hardware and has been scaled to clusters with thousands of nodes

HStreaming technology is built on top of Hadoop and tightly integrates with Hadoop and its rich and fast growing ecosystem. User of HStreaming operate within a single ecosystem to handle all big data processing, analytics, and archival. This integrated approach substantially reduces total cost of ownership.