Streaming information platforms like Kafka, Pulsar, and Kinesis at the moment are widespread 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 information contained in the messages – continues to be an train left to the receiving microservice or datastore, a customized programming train probably repeated time and again inside an software. Stream processing instruments corresponding 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 function in trendy information platforms, and the way it’s getting used as we speak.
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