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.

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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 ...

A funny thing happened while the tech world was focused almost exclusively on ChatGPT over the past eight months: Adoption of other cutting-edge technologies kept growing. One of those is real-time ...

Confluent, a leader in data streaming and steward of the open-source Apache Kafka system, recently announced its new "Data Streaming for AI" initiative to aid organizations in developing real-time AI ...

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 ...

Azure users can now deploy Cribl Stream’s data routing and processing on the Azure platform to better manage IT and security data in the cloud. Data processing platform developer Cribl is extending ...

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 features ...

Datorios, a developer of real-time technology for Apache Flink, is announcing the immediate availability of the Datorios data observability platform—the solution that lets you build, troubleshoot, and ...

MENLO PARK, CA, UNITED STATES, April 8, 2025 /EINPresswire.com/ -- DeltaStream, Inc. , a leader in serverless stream processing, today introduces the DeltaStream ...