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 it works the Snowflake Connector
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.
How it works the Apache Iceberg integration
Use Cases for Redpanda and Snowflake
Real-time customer analytics
Stream data from customer interaction platforms into Snowflake for immediate insights.
IoT data integration
Integrate high-volume IoT data streams into Snowflake to enhance predictive maintenance and operational efficiency.
Fraud detection and monitoring
Continuously stream transaction and security logs to Snowflake for real-time anomaly detection and fraud monitoring.
Trusted by industry leaders to build powerful data products
See how Redpanda empowers companies of all sizes to stream real-time data in any environment.
All-in-one platform for streaming, AI, and beyond
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.
Stay informed. Stay ahead.
Snowflake connector:
Streaming Data to Snowflake with Redpanda Connect
Redpanda Connect now streams data directly to Snowflake via Snowpipe Streaming for fast, efficient, no-code, high-throughput real-time analytics
Snowflake Connector for Redpanda Connect
Discover how to effortlessly connect and transform data with the Snowflake Connector for Redpanda Connect.
Apache Iceberg integration:
Apache Iceberg Topics: Stream directly into your data lake
Redpanda’s upcoming Iceberg integration makes accessing your streaming data radically more efficient
Apache Iceberg Topics: Stream directly into your data lake
Redpanda’s upcoming Iceberg integration makes accessing your streaming data radically more efficient
Supercharge Real-Time Analytics
Combine Redpanda’s low-latency streaming and simple, no-code pipelines with Snowflake’s analytics power. Ingest and analyze streaming data instantly—no ETL, no Kafka complexity, and up to 3× less compute. Build your real-time lakehouse today.