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

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