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 ...

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.

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.

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, ...

At QCon NY, Shriya Arora presented “Personalising Netflix with Streaming Datasets” and discussed a migration of a data processing job from batch-style ETL to stream processing using Apache Flink.

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 ...

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 ...

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 ...

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