Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

MongoDB announced that Atlas Stream Processing is now in public preview, allowing developers the flexibility and ease of use of the document model alongside the Query API. With Atlas Stream Processing ...

As the world becomes increasingly more demanding in the ways it consumes any form of content, data is no stranger to this phenomenon. The emphasis on real-time, streaming data, as well as IoT, has ...

Confluent is a leader in providing commercial-grade solutions based on the Kafka open-source project. Basically, Kafka is a foundation technology for what is called stream processing. Stream ...

Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...

Confluent has launched Streaming Agents to embed AI directly into data streams, addressing the enterprise challenge of moving AI agents from prototype to production by providing real-time data access ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...