Streaming Kafka Data into MotherDuck with Estuary Flow

​Traditional Kafka consumers for analytics are expensive, complex, and fragile. Especially when you need to replay streams, deduplicate events, and keep up with schema changes.

​In this session, we’ll show you how Estuary Flow bridges Kafka and MotherDuck with a simple, declarative approach to stream ingestion. You’ll see a live demo of streaming Kafka data into MotherDuck, evolving schemas on the fly, and querying fresh data in seconds.

• ​Reduce cost and complexity of building and maintaining Kafka consumers for BI and analytics

• ​Automatically handle schema inference and evolution without manual intervention

• ​Unlock real-time dashboards, rolling aggregates, and ML feature prototyping directly from your Kafka streams