GigaOM took their successful format for the Structure events to Europe for the first time and SQLstream’s CEO, Damian Black, was one of the key speakers. In a session with GigaOM’s leading Big Data writer, Derrick Harris, Damian discussed how real-time Big Data analytics can only be achieved using continuous streaming for real-time operational intelligence, and how standard SQL is the perfect vehicle as the language for the massively parallel distributed processing of live Big Data streams.

Damian’s talk was entitled ‘The Rebirth of Dataflow Computing: Real-time Distributed Big Data Processing’, and discussed how dataflow, an architecture for massively parallel distributed computing, is ideal for streaming Big Data operational intelligence. And SQLstream’s dataflow architecture harnesses the power of parallel dataflow using standard SQL as the data management language.

SQL is ideally suited to driving massively scalable applications based on a parallel, distributed processing architecture. In turn, this enables our customers to respond to each and every new record or piece of data as they arrive, in real time. So SQLstream is super low latency, unlike traditional data warehousing, existing operational intelligence and Hadoop storage platforms, where data must be stored first and then queried. Even if you query faster, querying faster is not real-time.

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