Inspect data streams and build and run stream processing applications in minutes
With Amazon Managed Service for Apache Flink Studio, you can query data streams in real time and build and run stream processing applications using standard SQL, Python, and Scala in an interactive notebook. Studio notebooks are powered by Apache Zeppelin and use Apache Flink as the stream processing engine. Studio notebooks seamlessly combine these technologies to make advanced analytics on data streams accessible to developers of all skill sets.
Benefits
Intuitively build and run applications
Studio notebooks provide a single-interface development experience for developing, debugging code, and running stream processing applications
Process using SQL, Python, and Scala
Use SQL, Python, and Scala in the same development environment. Syntax highlighting, validation, and context-sensitive suggestions guide you within the notebook to interact with your data.
Open source compatible
Amazon Managed Service for Apache Flink Studio runs on and produces Apache Flink applications used in production. Apache Zeppelin notebooks provide a familiar experience for authoring streaming applications in your chosen language.
Use cases
Stream inspection and visualization
Amazon Managed Service for Apache Flink Studio supports subsecond queries with built-in visualizations. Perform ad-hoc queries to inspect data streams and view results in seconds.
Rapid, serverless stream processing application development
Write code and pay for the resources your applications consume—without provisioning, managing, or scaling servers. Deploy your code in the notebook to a continuously running stream processing application with auto scaling and durable state.
Real-time analytics
Interactively query and analyze data in real time and continuously produce insights for time-sensitive use cases.
Resources
Get started with Amazon Managed Service for Apache Flink Studio
Run interactive notebooks
Start running Amazon Managed Service for Apache Flink Studio notebooks to query your streaming data.