Volt’s stream processing solution bridges the gap between streaming data and OLTP, reducing time to value and simplifying your stack.
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David Rolfe
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David Rolfe is Volt Active Data’s Head of Product Marketing. He has 30 years of database industry experience, half of which has been in the Telco Industry. In prior roles he designed and built charging, policy and mediation systems, managed a globally distributed team of DBAs and oversaw the selection of technology to replace legacy RDBMS. David is also credited as the inventor of four separate patents in the area of real time conflict resolution in distributed databases. David was Oracle’s 6th employee in Ireland and later went on to work at Sun, Pacific Bell, LeapFrog and Openet/Amdocs.
David is based in Dublin, Ireland and has three teenage children.
Bio from: Big Data LDN 2024
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We’ve never had more data, and we’ve never had more immediate access to data thanks to the success of the Kafka protocol. But what use is data if you can’t process it quickly enough to make a difference? Or can’t handle the scale with which it’s being generated? Or can’t make robust ACID-grade decisions if the situation requires it?
Volt Active Data is a real time decisioning platform that’s been around for a decade now, and plays a silent role in the lives of over a billion people every day. It’s used to run the prepaid mobile phone system for over 700 million end users, control millions of energy meters in Europe, and provide real time user analytics for over 500 million video game users worldwide.
In this session we’ll show how Volt’s new Stream Processing component allows you to connect the most powerful information pipeline (Kafka) to the most powerful real time decision engine (Volt).
Why does this lead to value? The Kafka-verse is very good at telling us about disjoint events in the recent past, but is short of tools to turn all that raw data into a clear understanding of what’s happening right now. Volt is excellent at the kind of tasks you need to solve if you want to get to ‘right now’. Complex aggregations, joining streams of imperfectly related data, enrichment, filtering, routing and other aspects of ‘Data Plumbing’ are easy with Volt. Once you have a clear and robust view of ‘right now’ you can get Volt to make real time decisions, at scale and with 100% ACID consistency that allow you to make the most of your newfound understanding.
Volt is more than just a stream processing platform. It started out as a performant, scalable and 100% ACID in memory database before evolving into a real time decision engine. Now, thanks to our new Stream Processing module you can get Volt to operate at the scale of your business, with the response times needed for success and the reliability your customers and stockholders expect.