Apache Storm hit a milestone release today. The Apache Software Foundation announced version 1.0 of the open-source distributed real-time computation framework for processing large streams of data with a new native streaming windows API. “Window-based computations are common among use cases in stream processing, where the unbounded stream of data is split into finite sets based on some criteria (e.g. Time) and a computation is applied on each group of events,” wrote Taylor Goetz, vice president of Apache Storm, in a. (Related: ) Windows are often used for functions such as aggregations, joins and pattern matching.

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In previous releases, users had to rely on their own windowing logic, and there was no way to define a window in a topology. With version 1.0’s native streaming window API, users can specify windows as window length or sliding interval. Goetz also claimed that with version 1.0, Apache Storm runs up to 16x faster with 60% reduced latency than previous releases.