
Streaming Lakehouse powered by Redpanda and Snowflake
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 Snowflake working together

Why use Redpanda with Snowflake?
Whether you are building streaming data pipelines to ingest data in Snowflake or embracing Apache Iceberg for real-time analytics, Redpanda offers a simple, powerful, and efficient solution.
Act instantly
Ingest terabytes of data with predictable sub-second latency, and query it as Open Catalog-governed Iceberg tables while it’s still streaming.
Simplify pipelines
300+ connectors out of the box makes it a breeze to move data from anywhere to everywhere with 3X less compute than Kafka Connect.
Slash costs and ops
Run sub-10 ms streaming and high-throughput Iceberg ingest on the same Redpanda cluster with Iceberg Topic.
Snowflake Connector for Redpanda Connect
Snowflake Connector for Redpanda Connect is the best way to get streaming data into Snowflake ensuring fast data availability for analytics.
Efficient ingest
The Snowflake connector uses Snowpipe Streaming for 2X faster writes than Kafka Connect, delivering a highly cost-efficient solution.
No-code configuration
Code-free and simple to set up in just a few lines of YAML configuration.
Dozens of sources
Leverage dozens of source connectors to stream data from anywhere to Snowflake.
How the Snowflake Connector works

Apache Iceberg integration with Redpanda
Redpanda’s integration with Apache Iceberg allows for:
Zero-ETL analytics
Redpanda Iceberg Topics make streaming data instantly available for analytics in the Apache Iceberg open table format, eliminating the need for ETL processes.
Compatible with existing analytics tools
Access real-time events with SQL or using any Iceberg-compatible lakehouse, tool, or engine, including Snowflake.
Catalog integration
Leverage existing REST-enabled Iceberg catalog services such as Snowflake Open Catalog to simplify data discovery and governance.





