Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Stream processing turns this paradigm around: the application logic, analytics, and queries exist continuously, and data flows through them in a continuous way. Upon receiving an event from the stream ...

Real-time stream processing isn’t a new concept, but it’s experiencing renewed interest from organizations tasked with finding ways to quickly process large volumes of streaming data. Luckily for you, ...

Practically every company can win with the processing of streaming data, but it takes a careful shift to this new paradigm of continuous processing of streaming data.

RisingWave Labs, a company building a platform for streaming data processing, today announced that it raised 36 million in venture funding.

Stream processing is used to power services such as real-time analytics and alerts, internet of things device tracking, user activity monitoring and online application data serving.

RisingWave has raised $36 million with a streaming database that combines elements of traditional databases and stream processing.

Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...

The clear separation of data streaming and data exploration problems leads to the insight that the majority of all production applications address stream processing problems.

RisingWave Labs, a company developing a platform for data stream processing, today announced that it raised $36 million in a Series A funding round led by Yunqi Partners, undisclosed corporate ...