📊 Replace Google Analytics with warehouse analytics.
ETL pipelines from cloud tools to your warehouse
Unify your event and non-event data in your data warehouse with plug-and-play cloud-to-warehouse ELT pipelines.
24+ cloud sources
Support for every major warehouse
Support for leading data lakes
Choose which data points to sync
Optional transformations per destination
Open-source, enterprise-ready and built for the modern stack
- Data warehouse and data lake support
Ingest data into every major warehouse, leading data lakes and other databases.
- Multiple sources, same schema
Have multiple ETL sources write to the same schema with our table prefix feature.
- Configurable sync schedules
Configure the optimal sync schedule for every use case. Run infrequently to save on costs, or move data in near real-time.
Join companies like Priceline, Sanity and Allbirds who run RudderStack ETL
“RudderStack collects even more detailed real-time data on our customer journey. That data now powers analytics, revenue reporting and the recommendations engine built by data science.”
- David Annez
Head of Engineering at Loveholidays
Warehouse and data lake support
24+ cloud sources, including CRMs, payments and marketing tools
Configure loads with table prefixes
Choose which data points to sync into the schema
Manage pipeline schedules with configurable sync times
Optional destination transformations
Top ETL use cases
- Break down data silos
Get data out of your product, sales, marketing, and support teams tools and into your warehouse to eliminate data silos.
- Build a full customer profile
Aggregate all of your customer data in your warehouse to build 360 customer profiles and create a single source of truth.
- Drive more meaningful insights
With every data point in your warehouse, you can deliver more powerful analytics to every team and unlock new opportunities for data science and machine learning.