Today, the way companies are leveraging data has changed. The world has moved from static stores held in databases to adding dynamic and event-driven data in flight. The driver of this dynamic is ...

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. The real world is ...

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The ability to move, manage and process data in real time is the domain of data streaming, which is largely dominated by a series of open-source technologies. The ability to stream data is a core ...

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.

Confluent CEO Jay Kreps argues that data stored in warehouses or lakehouses aren’t appropriate for the reliable and well-governed AI agents. Confluent CEO Jay Kreps took to the stage at the vendor’s ...

BENGALURU, India--(BUSINESS WIRE)--Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, announced AI Model Inference, an upcoming feature on Confluent Cloud for Apache Flink ®, to enable teams ...

Confluent Inc., maker of a platform for building and managing real-time data streaming pipelines using Apache Kafka, is offering a boost to organizations in financial services, healthcare, advertising ...

Atlas Stream Processing already supported many of the key aggregation operators developers are familiar with in the Query API used with data at rest. Now added in public preview are powerful windowing ...