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 ...

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, ...

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 ...

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

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.

Going with the stream: Unbounded data processing with Apache Flink Streaming is hot in big data, and Apache Flink is one of the key technologies in this space.

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 ...

In-memory data grids (IMDGs) historically have exceled in applications that require the fastest processing times and the lowest latencies. By adding a stream processing engine, called Jet, to its IMDG ...

DataStax said it sees Astra Streaming and Astra DB as core components of its data stack for real-time applications.