TDengine Introduces Integration with Apache Flink

Joel Brass

April 3, 2025 / Engineering

The TDengine team is excited to announce that Apache Flink is now supported as an ecosystem integration. With TDengine 3.3.6, you can configure TDengine to ingest data from Flink through a new connector.

About Flink

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.

In time-series data scenarios, Flink is often used as a stream processing engine. Although TDengine provides stream processing as a built-in component, we also support integration with data architectures that include stream processing engines like Flink to ensure that our users have the freedom to construct the optimal data stacks for their workflows.

Integration Details

TDengine’s Flink connector efficiently and accurately ingests data processed in Flink from different data sources and operators and stores it in our high-performance time-series database. You can find instructions along with sample code in our documentation.

Joel Brass
Joel Brass is a Solutions Architect at TDengine, bringing extensive experience in real-time data processing, time-series analytics, and full-stack development. With a 20 year background in software engineering and a deep focus on scalable applications and solutions, Joel has worked on a range of projects spanning joke databases, IoT, self-driving vehicles, and work management platforms. Prior to joining TDengine, Joel worked in Advisory Services for Enterprise customers of Atlassian and the Systems Engineering team at Waymo. He is currently based in the San Francisco Bay Area.