Posted On: Nov 20, 2020

You can now build and run streaming applications using Apache Flink version 1.11 in Amazon Kinesis Data Analytics for Apache Flink. Apache Flink v1.11 provides improvements to the Table and SQL API, which is a unified, relational API for stream and batch processing and acts as a superset of the SQL language specially designed for working with Apache Flink. Apache Flink v1.11 capabilities also include an improved memory model and RocksDB optimizations for increased application stability, and support for task manager stack traces in the Apache Flink Dashboard.

With this launch, Kinesis Data Analytics supports JDK 11 and Scala 2.12, with support for Python coming soon.

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications. Amazon Kinesis Data Analytics for Apache Flink integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon Elasticsearch Service, Amazon DynamoDB streams Amazon S3, custom integrations, and more using built-in connectors.  

You can learn more about Amazon Kinesis Data Analytics for Apache Flink in our documentation. You can learn more about what Flink 1.11 offers by visiting the official website.

For Amazon Kinesis Data Analytics region availability, refer to the AWS Region Table.