Stream data to Snowflake with Redpanda
The Snowflake Connector for Redpanda Connect offers the easiest, no-code configuration-driven approach to stream data from anywhere into Snowflake using Snowpipe Streaming.
Why Snowflake Connector?
Snowflake Connector for Redpanda Connect is the best way to get streaming data into Snowflake making it possible to unify streaming and batch processing. With 2X faster write compared to Kafka Connect, the Snowflake connector is dramatically cost-efficient. It’s code-free and simple to set up in just a few lines of YAML configuration. Getting real-time insights for faster decisioning and actioning has never been easier.

Powerful
Ingest data nearly 2X faster compared to Kafka Connect. Effortlessly scale to tens of Gbps throughput with seamless vertical and horizontal scaling capabilities of Redpanda Connect.
Simple
Stream data from dozens of sources to Snowflake in a no-code, configuration-driven approach with a few lines of YAML.
Flexible
Easily split a stream into multiple tables and do custom transformations on data in flight to address new generation of streaming use cases like autonomous driving, gaming, IoT streaming, and generative AI.
Customer Success Stories
Best-in-class experiences from startups to the enterprise
Customer Spotlight
Entain AU/NZ
Entain, a global leader in sports betting and gaming entertainment, partnered with Redpanda to simplify their streaming stack, eliminate operational bottlenecks, and deliver real-time data into Snowflake and across their business:
- 2x faster streaming compared to Kafka Connect
- Streamlined real-time financial, operational, and regulatory reporting with low-latency, query-ready data into Snowflake
- Eliminated 28,000 lines of Kafka Connect and custom ingestion code into Snowflake by adopting Redpanda Connect’s simple YAML-based configuration
- Shifted from batch ETL to live analytics and ML use cases, enabling faster, smarter decisions across the business
- Minimized risk and reduced downtime with a more reliable, developer-first platform that supports regulated, high-throughput workloads
“We’ve not only simplified our streaming architecture but also reduced our reliance on custom tooling, freeing up valuable engineering resources. This shift has streamlined operations and significantly lowered maintenance overhead, enabling us to focus on delivering real-time insights that drive critical decisions across our financial, operational, and reporting functions.”





