Streaming knowledge platforms like Kafka, Pulsar, and Kinesis at the moment are frequent in mainstream enterprise architectures, offering low-latency real-time messaging for analytics and functions. Nonetheless, stream processing – the act of filtering, remodeling, or analyzing the info contained in the messages – continues to be an train left to the receiving microservice or datastore, a customized programming train possible repeated time and again inside an software. Stream processing instruments comparable to Apache Flink and ksqlDB have been round for half a decade, however their complexity has hindered adoption. Decodable’s mission is to radically simplify processing on the stream with a SaaS platform primarily based on Flink, and utilizing solely SQL which frees up builders to give attention to what issues most.
Eric Sammer is founder and CEO of Decodable and joins the present to debate the potential of stream processing, its position in trendy knowledge platforms, and the way it’s getting used right now.
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