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Rill’s Agentic Architecture: Analytics for the AI Era

Rill’s Agentic Architecture: Analytics for the AI Era

From prompt hacks to a unified agentic runtime for analytical work.

Video: Building Fast Agentic Analytics with Google Antigravity and Rill

Video: Building Fast Agentic Analytics with Google Antigravity and Rill

In this walkthrough, we explore how developers and data teams can use the combination of Rill Data + Google Antigravity to build, modify, and scale analytics workflows entirely in code.

Feeding the agentic beast: Building a data stack that AI loves

Feeding the agentic beast: Building a data stack that AI loves

At Rill, we’ve been building for high-concurrency, high-volume analytics workloads from the start. In this post, I’ll focus on the semantic layer — because in agentic analytics it’s the only layer that can simultaneously understand user intent, data topology, and execution cost.

Introducing Metrics SQL: A SQL-based semantic layer for humans and agents

Introducing Metrics SQL: A SQL-based semantic layer for humans and agents

When we built Rill, we made a bet that metrics – concepts like revenue, MAU, ROAS — are the core primitive for semantic layers. This blog post is a deep technical dive into how Rill's Metrics SQL

Video: Building Fast Agentic Analytics with Cursor and Rill

Video: Building Fast Agentic Analytics with Cursor and Rill

Walk through of how Rill enables a fully agentic BI workflow using tools like Cursor, local development environments, and modern CI/CD practices — all while delivering instant, production-ready insigh

Video: Building Fast Agentic Analytics with Claude Code and Rill

Video: Building Fast Agentic Analytics with Claude Code and Rill

Learn how to build fast agentic analytics using Claude Code and Rill. Discover how AI coding agents and developer-first BI enable faster metrics, dashboards, and analytics workflows.

Rill in Review: Top Features That Shaped 2025

Rill in Review: Top Features That Shaped 2025

As the year closes, it's the perfect time to reflect on how Rill has grown and the features that made the biggest difference. Over the past year, we shipped improvements focused on making analytic

Introducing Canvas dashboards — a new way to visualize metrics

Introducing Canvas dashboards — a new way to visualize metrics

We’re excited to introduce Canvas dashboards, a flexible way to arrange and visualize your metrics however you’d like.

Why You Need a SQL-based Metrics Layer

Why You Need a SQL-based Metrics Layer

Once metrics are defined with SQL expressions, we automatically generate an exploratory dashboard -- enabling slicing, dicing, and drill down across any dimension.

2024 Product Recap - 5 Top Features

2024 Product Recap - 5 Top Features

In 2024, we launched more features than we can count and together with our customers solved interesting and challenging data problems. Alex Thor, Product Manager, shares his top 5 features we shipped this year.

Introducing the new File Explorer

Introducing the new File Explorer

With the File Explorer, developers now have the ability to interface with their entire Rill project natively and restructure the project, including assets and nested folders, to better align with the needs of their use cases or organization.

Introducing the Rill pivot table

Introducing the Rill pivot table

The pivot table is the most popular tool in data exploration, analysis, and reporting software. Given their widespread popularity and utility, we’re proud to now introduce pivot tables to Rill.

2023 Product Recap - 6 Big Features

2023 Product Recap - 6 Big Features

2023 has been a wild year for Rill. We have made tremendous improvements into the product. Here is a list of our top features from 2023.

Introducing Rill Cloud: The Fastest Path from Data Lake to Dashboard

Introducing Rill Cloud: The Fastest Path from Data Lake to Dashboard

Deliver fast, exploratory dashboards in minutes. Install Rill, connect to your S3 or GCS bucket, build SQL-defined dashboards, and deploy to Rill Cloud.