The Fastest Path from Data Lake to Dashboard
Build fast, exploratory dashboards that your team will actually use.
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The world of data analytics has evolved
Dashboards should be fast. Fast to build, fast to use, and deliver fast insights.
Skip the data warehouse, and transform an S3 or GCS bucket into an interactive dashboard with just one tool.
Our BI-as-code approach allows you to create, update, and deploy a BI stack with SQL and YAML artifacts in a Git repo, and manage it in your CI workflow.
Proud to be backed by data pioneers from
Loved by 1000s of users
90% of our analysts' work is using time series analysis and week over week comparison to find trends. Rill does exactly that, and even though we have Looker with the exact same data, the analysts prefer to do everything in Rill if they can, because it's fast and responsive.
Sr. Director of Analytics, Liftoff
Rill’s insights allow us to optimize inventory for clients, and to make more inventory valuable, which enables our clients to leverage competitive average CPMS to increase their revenue.
SVP Client Success, Triton Digital
We’ve been able to cut down custom data requests to engineering significantly - close to 30%.
Sr. Director of Programmatic Account Management, Emodo
TIL— Instead of doing some dbt magic, I can use @RillData to analyze my exported transactions and build an analytics dashboard without any extra steps. Beautiful how Rill visualizes time/number data automatically, playfully, and interactively.
We use Rill pretty much from the start to the finish of each day. These analyses are not possible in other tools we use.
Senior Campaign Manager, Sabio
Yeah I feel like the BI tooling layer is the missing link here; I'm honestly more bullish on @RillData here b/c they get DuckDB as backend in a way that other tools do not.