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 ...

The race is on to process high volumes of data at a rapid pace to future-proof and stay ahead of competitors. Holger Temme of Confluent makes the case for stream processing, with some industry ...

Ververica, the creator of Apache Flink, has launched its ‘Powered By Ververica’ program, aimed at expanding the reach of advanced stream processing technology by providing access to the cutting-edge ...

The new DeltaStream Fusion Unified Analytics Platform empowers organizations to process both real-time and historical data in one place seamlessly.

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security ...

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes.

Stream processing enables businesses to analyze and react to massive amounts of data in real time for decision-making, fraud detection, personalized customer experience, and more.

Atlas Stream Processing, a solution that aggregates and enriches streams of high velocity, rapidly changing event data, and unifies working with data, is now in public preview.

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security ...