The startup’s Apache Pulsar 2.0 released on Wednesday (June 6) adds new functionality designed to move data users “beyond batch” processing. Among them is a “stream-native” processing capability called Pulsar Functions designed to apply analytics to data as its flows through the Pulsar platform. Processing functions can be written in either Java or Python, the company said.
Debuted earlier this year as a preview feature, Streamlio announced general availability of Functions this week as part of its 2.0 release.
Another is a Pulsar enhancement developed in conjunction with Apache Bookkeeper, a scalable storage system. Streamlio said the new features, called Topic Compaction, delivers streaming data storage designed to improve the performance of applications consuming data from Pulsar. It serves as a “broker” that builds a snapshot of the latest value for each topic key, the startup said.
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