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 ...

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

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 ...

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.