The fastest business intelligence tool for humans and agents. Agentic AI, BI-as-code experience that allows teams to go from raw data to interactive dashboards.
In this video, @JonWalls walks through how Rill enables a fully agentic BI workflow using tools like @cursor_ai, local development environments, and modern CI/CD practices — all while delivering instant, production-ready insights.
📢 BIG NEWS - @RillData raises $12M from data supergroup + launches Rill Developer to fix business dashboards. Radically simplify how you transform and explore data—at any scale 🚀
Read the @TechCrunch article from @ron_miller for details.
By partnering with @MotherDuck, Rill's goal is to provide the @DuckDB community a first-class BI stack.
MotherDuck is the fastest, easiest way to run DuckDB in the cloud, and we want to empower users to just as easily build fast, exploratory dashboards.
📢Rill Cloud beta is now available📢
See for yourself how quickly you can deploy Rill's fast, exploratory dashboards directly from your S3 or GCS bucket.
✅shareable with team members & partners
✅continuously integrated & deployed via Github
✅always up-to-date with fresh data
Data lakes are converging on the features of cloud data warehouses, with open source frameworks like @ApacheParquet, @ApacheArrow , and @ApacheIceberg paving the way.
Rill 0.41 is live🎉
It's one of our biggest releases to date with tons of exciting features - pivot tables, AI-powered dashboards, Clickhouse connection, and more 🚀
See the thread for all the details👇
Check out the new features now available in Rill 0.34:
*Expanded data comparison by any dimension
*Securely mimic users & debug with ease
*Support for nested data types via BigQuery
*2-3x faster data ingestion
Full release notes available here: docs.rilldata.com/notes/0.34
Apache Arrow began with faster analytics, but is now the core of a new breed of infrastructure (Iceberg, Parquet, Polars, @duckdb) says @buckymoore:
"A new, unbundled OLAP architecture [where] data is stored directly in object storage like S3 or GCS."
kleinerperkins.com/perspectives/i…
Wonder what the experience is like when you combine @duckdb with data profiling?
DuckDB-powered Rill Developer is so fast, it will change how you explore, model and share metrics.
Follow @RillData for feature releases & our product launch on July 19📢
See thread for details👇
“Why not scale up Rill using @ClickHouseDB", Alexey Milovidov.
We had a POC interactively exploring a staggering 480 billion records and today we're excited to announce our live connector!
Now it’s possible to build operational dashboards instantly on top of ClickHouse tables🚀
Learn how to build your own GitHub analytics dashboard in minutes with Rill. In this blog, @ericpgreen2 provides examples of the metrics and insights you can gain. The result is a live, interactive dashboard that offers insights into your engineering org.
Rill .36 offers more configurable dashboards. Under the hood, we pack a new asynchronous orchestration engine, paving the way for hot reloading and scheduled source refresh.
Last but not least, the release upgrades Rill to the new version of @duckdb v9.
docs.rilldata.com/notes/0.36