Companies at all stages use Rill.
Why teams use Rill for Product Analytics
More customizable user data
Rill’s integrated SQL modeling merges sources, simplifies metric creation (eg. cohorts, retention, feature adoption) and creates consistent, shared definitions across teams.
Faster funnel dashboards, easier adoption
Self-serve, sub-second dashboards are designed for product and customer facing teams to reduce the analytics learning curve.
Reduce data warehouse cost
Large volumes of product log data are expensive to query - Rill’s in-memory OLAP database shields your warehouse while keeping log-level detail.
Resolve application issues faster with alerts for SDK/application releases. Reduce data warehouse cost using Rill as a “caching” layer.
For Product Managers & Data Science
Accelerate user time to value with more detailed segmentation insights. Reduce ad hoc queries with more flexible data models in the hands of business users.
For Analysts & Customer Success
Eliminate dashboard sprawl and maintenance with row/column level permissions. Slice and dice dashboards require no training for real self-service reporting.
“Our Snowflake bill tripled overnight and self-hosted Metabase took minutes for basic questions. Then we came across Rill and haven't looked back. Simple dashboards and complex multi-join queries that return in seconds allows anyone on our team to answer any question. It's been a game-changer for us.”
Fouad Matin, CEO
Ready for better dashboards?
Contact us to see Rill in action.