
Rill Data provides a code-first business intelligence platform for governed dashboards and agent-ready analytics on customer warehouses.
Rill embeds an in-memory OLAP engine directly with dashboards, delivering sub-second interactive queries without a separate extract or caching layer. That architecture keeps data and compute co-located, so dashboards stay fast even as exploration depth grows.
Its second edge is a single Git-reviewed YAML metrics view shared by dashboards, embeds, and AI agents through the Model Context Protocol. One governed definition removes metric drift, shortens review cycles, and lets teams grant agents verifiable answers instead of ad-hoc SQL.
Source: rilldata.com
Rill Data prices its cloud service per seat with a Starter tier at $20 per user per month and a Growth tier at $30 per user per month, plus usage-based consumption on top. A custom Enterprise tier covers larger deployments with dedicated support and security review.
New accounts receive a $250 usage credit to evaluate the platform, and teams can bring their own cloud warehouses rather than paying for a separate data store. The model rewards broad dashboard adoption while keeping entry costs low for small analytics teams.
Source: rilldata.com
Rill Data is a code-first business intelligence platform where analytics teams define data sources, models, metrics, and dashboards as SQL and YAML checked into Git. Its metrics-first semantic layer gives every chart, dashboard, and AI agent one governed definition of each measure.
The product pairs an embedded in-memory OLAP engine with two dashboard modes, Canvas for composed layouts and Explore for self-serve pivoting, plus white-label embeds and role-based access. Teams run it against existing cloud warehouses and connect agents through a Model Context Protocol interface for verifiable answers.
Source: rilldata.com