Two forces are reshaping Apache Kafka: diskless architectures and Apache Iceberg as the lakehouse standard. Most solutions choose one; few unify both natively.

This session introduces Lakestream—an architecture combining diskless streaming with Iceberg into a single storage layer—and Ursa for Kafka (UFK) as proof that native Kafka can run directly on it.

We'll walk through:

Why diskless alone falls short without native lakehouse integration
How Lakestream separates compute and storage while writing Kafka topics as queryable Iceberg tables (no pipelines)
Flexible cluster profiles to optimize for latency or cost, including per-topic control
Seamless migration from existing Kafka deployments without application changes
Eliminating Kafka-to-lakehouse ETL by maintaining a single source of truth
You’ll leave with a clear view of a diskless, Iceberg-native Kafka—and how to get there.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.