We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

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 ...

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 ...

Decodable, the well-funded real-time data engineering and stream processing platform based, in part, on the Apache Flink open source project, is launching a major update today that aims to make the ...

SANTA CLARA, Calif., Sept. 21, 2023 — Timeplus, creator of one of the industry’s fastest and most powerful streaming analytics platforms, announced today that it has licensed its core engine, Proton, ...

As the world becomes increasingly more demanding in the ways it consumes any form of content, data is no stranger to this phenomenon. The emphasis on real-time, streaming data, as well as IoT, has ...

Stream processing unifies applications and analytics by processing data as it arrives, in real-time, and detects conditions within a short period of time from when data is received. The key strength ...

Hadoop disrupted, and in some ways became synonymous with big data, by offering a framework for cheap storage and scale out processing. Parallel to Hadoop came the flurry of NoSQL solutions that also ...

Once your C-suite acknowledges the value of events-driven processing, the next logical step is to transition your organization to programming that supports the strategy. The most promising emerging ...