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Decodable wants to take real-time stream processing mainstream


Decodable, the well-funded real-time data engineering and stream processing platform based, in part, on the Apache Flink open-source project, is launching a major update today that aims to make the service more attractive to large enterprises. In addition to expanding its library of connectors to enable data ingestion from more sources and a new enterprise support option, the marquee feature here is the launch of its automated task-sizing capabilities. Thanks to this, Decodable can now dynamically configure workloads as needed to optimize performance and cost.
As Decodable founder and CEO Eric Sammer told me, he believes that while stream processing itself is quickly becoming mainstream — with Apache Flink becoming the de facto standard — what happens around that isn’t quite mainstream yet, in part because …

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