HStreaming, a provider of solutions for realizing continuous real-time analytics to big data, recently raised an undisclosed amount of venture funding by Atlas Venture, an early stage venture capital firm.
HStreaming enables performing advanced analytics in real-time, creating live dashboards, identifying and recognizing patterns within one data stream or across multiple data streams, and triggering of actions based on predefined rules or heuristics. Its technology is capable sorting out some of the hardest problems involving low-latency big data for various industries including government, telcos, adtech and finance. Its platform can analyze data in real-time and produce actionable data afterward.
Christopher Lynch, a partner at Atlas Venture, said in a statement, “This software platform is a new category of fully-integrated analytics that will redefine how we interact with big data. It allows for in-time analytics and in-time translation of analytics into monetize-able action. HStreaming truly stands out from the big data crowd and we are excited to be their partner and investor.”
HStreaming’s communication fabric provides high availability and fault tolerance in case of hardware and software failures, and transient network outages and it is committed to giving unprecedented visibility and the tools necessary to take action on data as it comes in fast and furious.
For instance, airports deploy large number of CCTV or security cameras on their premises and sometimes even areas close by them. To monitor people movement and sort out any threats among them is cumbersome. If someone enters a secure area of an airport, a normal security camera may trigger an alarm, but it may not necessarily be a security risk, as it might a passenger who is lost. By analyzing that particular passenger’s behavior across the airport analyzing feeds from other cameras can help one ascertain whether it is a threat at that very moment. Deriving real-time intelligence from big data is a key component in capturing its value, which HStreaming claims it is capable of delivering.
HStreaming’s platform integrates all equipment with the datacenter into a single fabric that automatically chooses the optimal location for processing, whether on the edge or in a datacenter.
Last year, HStreaming unveiled its real-time video analysis software that helps customers visualize and correlate video streams for greater insight. The software technology allows video data to be combined with text or transactional data, different from other video analytics solutions that treat video data separately.
By use of a common query language, the analytics software offers a rich set of analytical functions that includes grouping, filtering, aggregations, pattern matching, projections and clustering to video analysis results. The solution can be used to train, discover, cluster and search large video footage archives, in addition to being applied to the many different Hadoop ecosystem products.
Edited by Rachel Ramsey