By integrating Flink's advanced stream processing capabilities with StreamNative's 100% Kafka-compatible, Pulsar-based Ursa engine; the partnership aims to deliver significant value to customers ...

Stream processors are well suited for traditional GPU-focused tasks such as image, video and signal processing. It is becoming increasingly common, however, to also utilize the stream processors ...

Amazon Web Services and NASA have demonstrated how cloud-based video processing can distribute live streams from space, with a shout-out from the International Space Station.

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 revolutionary Vera C. Rubin Observatory will unveil new insights about our universe—and you can catch a first look at a ...

The Berlin Institute for the Foundations of Learning and Data (BIFOLD) announces the open-source release of NebulaStream, a ...

2. Scalability and performance Transactional stream processing systems are designed for scalability. They can handle large volumes of data with ease, thanks to their distributed nature.

As Dean Wampler, author of Fast Data Architectures for Streaming Applications argues, "if everything is considered a "stream" -- either finite (as in batch processing) or unbounded -- then the ...

Hazelcast Jet is a stream processing framework designed for fast processing of big data sets. Originally released in 2017, the open source engine runs in a distributed manner atop the Hazelcast IMDG, ...

RisingWave Labs is attracting money because it’s on a mission to democratize a data stream processing technology that until now has been available to only a select few organizations.

'The Nord Stream release is roughly equivalent to one and a half days of global methane emissions.' When you purchase through links on our site, we may earn an affiliate commission. Here’s how ...