Real-time stream processing architectures differ significantly from batch processing: whereas batch processing requires massive amounts of storage and CPU and memory resources sufficient to churn ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

A monthly overview of things you need to know as an architect or aspiring architect. Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Hazelcast, the leading in-memory computing platform company, today announced the general availability of Hazelcast Jet, the only streaming engine with no external ...

Previously, we introduced streaming, saw some of the benefits it can bring and discussed some of the architectural options and vendors / engines that can support streaming-oriented solutions. We now ...

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Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...

Impetus Technologies, a big data thought leader and software solutions company, announced StreamAnalytix™ 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline ...