Open Lakehouse Streaming powered by Redpanda and Databricks
Get a high-performance, low-latency streaming and analytics powerhouse that turns streaming data into real-time insights, without the complexity of traditional Kafka infrastructure.
Redpanda and Databricks working together
Why use Redpanda with Databricks?
Redpanda captures streaming data the moment it’s created, while Databricks enriches, analyzes, and serves it at lakehouse scale. The result is an open lakehouse you can trust for machine-learning models, dashboards, and customer-facing apps.
Drop-in Kafka compatibility
Keep existing producers, consumers, and tooling—no refactoring required.
Lightweight, no-code connectors
YAML-based configs spin up pipelines in minutes while using up to 3× less compute.
Bring Your Own Cloud
Run a fully managed streaming service inside your own AWS, Azure, or GCP account for complete data sovereignty.
Iceberg Topics for instant SQL
Query live streams as Apache Iceberg tables - accessible from Databricks SQL, Spark, or any Iceberg-compatible engine.
Ready to build your streaming lakehouse?
Get a high-performance, low-latency streaming and analytics powerhouse that turns streaming data into real-time insights, without the complexity of traditional Kafka infrastructure.