Feature launch: Snowflake Streaming integration

After battle testing and extensive beta refinement in partnership with Snowflake and a dynamic group of beta customers, RudderStack’s Snowflake Streaming integration is now generally available.
Now you can get customer event data from every source into Snowflake faster (and save on your Snowflake bill!). We built the new integration with Snowflake's Snowpipe Streaming API, the most performant and cost-effective way to load streaming data into Snowflake.
If you have low latency use cases for your event data, and you’re using Snowflake, this is what you’ve been waiting for. It automates customer data collection from web, app, (even server-side!) sources and delivers events to Snowflake in real-time.
Customer data carpe diem
The market for real-time analytics is expected to grow by 25.6% annually through 2032, and it’s no secret that consumers today expect everything nearly instantaneously–from package delivery to customer service response times and marketing communications. The faster you can deliver, the better. This holds true with customer data.
Customer data loses value fast, and companies that quickly act on it gain a distinct competitive advantage. HBR reports that 58% of organizations with real-time capabilities report stronger customer retention and loyalty, and 44% credit real-time capabilities with significant increases in revenue generation.
See Snowflake Streaming in action
Watch 'From data points to decisions in seconds' to learn more about streaming use cases and see a live demo.
That’s why RudderStack supports over 200 real-time destinations for use cases like marketing automation, ad retargeting, and in-session personalization. These integrations empower you to act on key customer signals instantly.
But for many use cases—whether analytics, A/B testing, alerting, or AI/ML—you need to combine your event data with other data in your data cloud before making a decision or triggering an action. For these scenarios, ingestion speed becomes a critical latency. Enter Snowflake Streaming.
Continuous streaming into Snowflake, simplified
Snowflake built Snowpipe Streaming to make streaming data into Snowflake more accessible, and we’re upping the ante. Our new integration takes care of all the complexities of collecting customer data and streaming it into Snowflake.
Use our SDKs to collect data from all of your event sources, configure the Snowflake Streaming Destination in RudderStack, and RudderStack will start streaming your data into Snowflake, making it available for action and analysis within seconds.
Our Snowflake Streaming integration delivers a future-proof way for customers to get event data into Snowflake. It’s built upon Snowflake's latest ingestion technology, and it provides the dual benefit of faster ingestion and more cost efficiency.
What’s more, with RudderStack’s integrated features for data quality and data compliance, you can handle governance in pipeline, dramatically reducing clean up and compliance work once your data hits the warehouse.
Get started
Customer data streaming doesn’t have to be complicated or expensive. With our new Snowflake Streaming integration, you can continuously stream clean customer data from every website, mobile application, and server-side event source to Snowflake, without complex integration work.
Snowflake Streaming is now included on the RudderStack Enterprise tier, and we’re giving all other paying RudderStack customers a free trial until June 8, 2026. After the trial period, Snowflake Streaming will be available as an add-on for non-Enterprise customers.
If you want a faster, more cost-effective way to get your customer data into Snowflake, check out the Snowflake Streaming docs to learn more, and reach out to our team for a demo. If you’re a current RudderStack customer and you want to start using Snowflake Streaming, contact your CSM today.
See Snowflake Streaming in action
Watch 'From data points to decisions in seconds' to learn more about streaming use cases and see a live demo.
Published:
June 3, 2025









