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 ...

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 ...

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 ...

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

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.

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.