Flinkflow now supports Flink SQL as a first-class step type. Define schemas, write SQL queries, perform windowed aggregations, and join multiple streams — all from your YAML pipeline.
Raw security logs are useless without context. Learn how to perform sub-second temporal joins in Flinkflow to enrich firewall logs with asset and user metadata for instant threat detection.
Discover how to fuse live event streams with LLMs and AI models using Flinkflow’s Agentic Bridge. Learn how stateful memory and Async I/O power real-time AI decision engines.
Introducing native Apache Flink ML support in Flinkflow. Embed Estimators and Transformers directly in your YAML pipelines using dynamic reflection and StreamTableEnvironment.
A direct comparison showing why FlinkFlow is better suited than Flink SQL for declarative, polyglot, Kubernetes-native stream processing — and why FlinkFlow now embeds Flink SQL natively.
Why writing complex Java for simple Flink jobs is a thing of the past and how YAML-first pipelines are democratizing real-time data engineering.
Talweg