Stream processing systems enable the continuous ingestion and analysis of data in motion, allowing each record to be processed as it arrives rather than after storage. Such systems underpin a diverse ...

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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 ...

New features include a Real-time Context Engine for GenAI Agents and MCP Server—uniting AI-assisted pipelines, unified orchestration, cost optimization, and observability in a single serverless ...

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 ...

A DeltaJoin operator has been introduced in stream processing jobs, along with optimizations for a simple streaming join pipeline. Smile binary format support has been added for compiled plans, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

MENLO PARK, Calif.--(BUSINESS WIRE)--DeltaStream, Inc., the serverless stream processing platform, today announced it has raised $15M in Series A funding from New Enterprise Associates (NEA), Galaxy ...

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 ...

Learn how to use advanced techniques like short-circuiting, parallel execution, virtual threads, and stream gatherers to maximize Java stream performance. My recent Java Stream API tutorial introduced ...