Feeling stuck with Segment? Say đź‘‹ to RudderStack.
Collect, enrich, and activate customer data with RudderStack and Snowflake
Gain meaningful insights in real-time through a warehouse native approach
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Track, collect, and send data from a variety of sources
Gain a wholistic view of your customer all within your native data cloud.
Key benefits of the RudderStack and Snowflake integration
Accelerate time to value
Automatically generate an identity graph and over 30 event-based user features out of the box.
Configure complex identity graphs
Ensure your teams can deliver the right personalized messages, at the right time, with complete context on the customer.
Take action with funnels and semantic events
Profiles makes it easy for data teams to model both funnels and semantic events, then send that data directly to business tools.
Snowflake is an ideal Data Cloud for Your CDP
Features, values, and use cases that make a difference
Security
Snowflake is fully GDPR- and CCPA-compliant, and uses cutting-edge encryption and data masking techniques for in-transit and at-rest data.
Speed and performance
Use near-unlimited, dedicated compute resources to support concurrent data queries without any impact on speed creating value for teams that run at extremely high scale.
Ease of management
Snowflake is simply easy to manage and requires less time to spend worrying about infrastructure, and more time focused on your product.
RudderStack and Snowflake in action
Learn how Wyze leverages RudderStack Profiles to transform their data strategies within Snowflake.
10x increase in engineering productivity
Defining multiple events and automating nearly 50+ new user features into a data pipeline takes hours instead of weeks
Customer 360 view
Wyze is using customer 360 views to calculate propensity scores, tailor customer offers, and deliver personalized recommendations
Elimination of data silos
Wyze eliminated data silos by using RudderStack to build a warehouse native workflow centered around Snowflake
“RudderStack’s warehouse native approach eliminated the manual processes bogging down our data engineers. With clean data at their disposal and automated workflows to route it downstream, they started providing our AI/ML, marketing, and product teams with actionable information to drive new models and power new processes.”
Wei Zhou, Director of Data Engineering at Wyze