# www.rilldata.com

> AI-optimized mirror of www.rilldata.com containing 50 pages totalling 13,607 words of clean markdown content, structured data, and semantic HTML. Original source: https://www.rilldata.com/. Last updated: 2026-05-12T20:52:44.547Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Build fast agentic analytics with Claude Code and Rill](/site-root.html): Rill's Agentic Analytics goes beyond dashboards with a natural language interface that powers instant, visual, and verifiable insights. (1,292 words)

## Articles & Blog Posts

- [mcp/index.html](/mcp/index.html) (1 words)
- [blog/data-driven-leader-series-episode-1-disco/index.html](/blog/data-driven-leader-series-episode-1-disco/index.html) (1 words)
- [Rill rethinks BI dashboards with embedded database and instant UX](/data-talks-on-the-rocks-panel-in-nyc-transcript/index.html): Watch this recorded panel session where Mike Driscoll alongside industry experts - Edo Liberty, Erik Bernhardsson, & Katrin Ribant - discuss AI, data analytics, and data infrastructure. (149 words)
- [manifesto/index.html](/manifesto/index.html) (1 words)
- [media/index.html](/media/index.html) (1 words)
- [Build fast agentic analytics with Claude Code and Rill](/metamarkets/index.html): From the creators of Metamarkets, Rill Data provides real-time data access and fast, exploratory dashboards for Ad Tech platforms: CTV, Exchange, SSP, DSP & Ad Network. (222 words)
- [Build fast agentic analytics with Claude Code and Rill](/programmatic-advertising/index.html): Spun out of Metamarkets and Snap, we provide real-time inventory and campaign reporting at programmatic scale. Improve inventory management/campaign performance, troubleshoot issues faster and increase transparency with your partners. (538 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/operational-bi-embedded-dashboards-for-clickhouse/index.html): Why not scale up Rill using ClickHouse? We're excited to announce our live connector for ClickHouse. Now it’s possible to build interactive, exploratory, embedded ClickHouse dashboards. (201 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/building-fast-agentic-analytics-with-claude-code-and-rill.html): 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. (207 words)
- [Build fast agentic analytics with Claude Code and Rill](/legal/legal-sub-processors/index.html): Rill Data is a simple alternative to complex BI stacks—the fastest, easiest path from data to metrics dashboards (that your users will actually use). (145 words)
- [Companies at all stages use Rill.](/contact/index.html): If you have questions about how Rill can help you build fast, operational dashboards, share your information and a team member will reach out to you. (183 words)
- [Introducing Rill’s MCP server—a new chapter for conversational BI.](/try-free/index.html): Rill is a simple alternative to complex BI stacks. Empower engineers and business users with fast operational dashboards that your team will actually use. (222 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/2024-product-recap-5-top-features/index.html): 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. (207 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/2023-product-recap-6-big-features/index.html): 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. (208 words)
- [Build fast agentic analytics with Claude Code and Rill](/product/index.html): Rill's unique architecture combines a last-mile ETL service, in-memory embedded database, and exploratory dashboards - all in a single solution. BI-as-code. (462 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/introducing-metrics-sql-a-sql-based-semantic-layer-for-humans-and-agents.html): 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 works, why we built it the way we did, and where we're taking it next. (209 words)
- [Build fast agentic analytics with Claude Code and Rill](/legal/privacy/index.html): Rill Data is a simple alternative to complex BI stacks—the fastest, easiest path from data to metrics dashboards (that your users will actually use). (146 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/data-modeling-for-the-agentic-era-semantics-speed-and-stewardship.html): Master the three pillars of agentic data modeling: Metrics SQL for semantics, sub-second analytics for speed, and AI guardrails for trusted insights. (210 words)
- [Build fast agentic analytics with Claude Code and Rill](/team/index.html): By tackling obstacles across the stack—from real-time data transformation, to database architecture, and metrics exploration—we help data teams become great data teams. (399 words)
- [Build fast agentic analytics with Claude Code and Rill](/case-studies/index.html): Our customers share our story best. Our customers are the world's leading media and advertising platforms including Emodo (Ericsson), Triton Digital, and Sabio. (147 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/how-to-achieve-fast-query-speed-with-no-devops-maintenance.html): The transition from on-prem to cloud has picked up speed. While just five years ago, companies were resisting moving to the cloud due to data security concerns, the more common question now is, “How can I move to the cloud as quickly and cost efficiently as possible?” (208 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/video-building-fast-agentic-analytics-with-google-antigravity-and-rill.html): Modern BI is evolving fast — and the combination of Rill Data + Google Antigravity shows exactly where it’s headed. In this walkthrough, we explore how developers and data teams can use AI agents to build, modify, and scale analytics workflows entirely in code. (211 words)
- [Rill rethinks BI dashboards with embedded database and instant UX](/archive/pricing-2023/index.html): With transparent usage-based billing, Rill offers lightning-fast metrics exploration for analytics applications of any size. (990 words)
- [Build fast agentic analytics with Claude Code and Rill](/careers/index.html): Come do your best work! Rill is a simple alternative to complex BI stacks. Empower engineers and business users with fast operational dashboards that your team will actually use. (154 words)
- [Build fast agentic analytics with Claude Code and Rill](/product-analytics/index.html): Democratize your product data. Give your customer teams real-time, granular reporting to drive product engagement. (377 words)
- [Introducing Rill’s MCP server—a new chapter for conversational BI.](/powering-self-serve-analytics-for-a-leading-audio-advertising-platform.html): A global technology and services provider to the digital audio and podcast industry uses Rill for real-time, interactive, easy-to-use dashboards customized to their needs. (150 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/rill-agentic-architecture-analytics-for-the-ai-era/index.html): This blog is a summary of how Rill’s AI system evolved from a handful of one-shot prompts into a cohesive, MCP-native runtime for analytical work. (201 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/the-rise-of-the-declarative-data-stack/index.html): The future looks more code-first. From ingestion to transformation, orchestration, and measures in dashboards—all defined declaratively. But what does this shift actually mean? FInd out in this guest blog by Simon Späti (210 words)
- [Build fast agentic analytics with Claude Code and Rill](/pricing/index.html): With transparent usage-based billing, Rill offers lightning-fast metrics exploration for analytics applications of any size. (353 words)
- [sitemap-xml.html](/sitemap-xml.html) (90 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/data-modeling-guide-for-real-time-analytics-with-clickhouse.html): Learn how to build sub-second real-time analytics with ClickHouse. Complete guide covering data modeling strategies, optimization techniques, and practical S3-to-dashboard examples. (210 words)
- [Build fast agentic analytics with Claude Code and Rill](/events/index.html): Check out our blog with industry thought leadership pieces and important announcements from the team at Rill. (156 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/multi-cloud-cost-analytics-from-cost-export-to-parquet-to-rill.html): Learn how to unify AWS and GCP costs with revenue data in a single dashboard. Step-by-step guide using dlt, Parquet, and Rill. Clone and run immediately. (209 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/real-time-roundtable-clickhouse-startree-motherduck-and-tobiko-data.html): Michael Driscoll discusses real-time databases and next-generation ETL with a legendary panel of technical founders Yury Izrailevsky (co-founder of ClickHouse), Kishore Gopalakrishna (founder of StarTree), Jordan Tigani (co-founder of MotherDuck), and Tobias (Toby) Mao (founder of Tobiko). (225 words)
- [Build fast agentic analytics with Claude Code and Rill](/iot-logistics/index.html): Streamline operations and improve performance monitoring. Reduce resolution times with more flexible reporting and increase revenue by putting operational data in the hands of your sales teams. (355 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/data-talk-on-the-rocks/index.html): Mike Driscoll, CEO of Rill, is joined by Edo, Erik, and Katrin to discuss AI, analytics, and data infrastructure at Great Jones Distillery. (225 words)
- [Build fast agentic analytics with Claude Code and Rill](/infrastructure-monitoring/index.html): Wrangling infrastructure costs shouldn’t be so difficult. High-volume businesses need real-time tooling to monitor & reduce cloud spend, map customer revenue to costs, and optimize gross margins. (379 words)
- [About Apache Druid](/apache-druid/index.html): Rill’s Druid-as-a-Service removes the challenges of managing your own Druid cluster and enables lightening fast queries with no DevOps overhead. (455 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/data-talks-on-the-rocks-6-simon-spati/index.html): What’s really changing in the modern data stack? In a conversation with Simon Späti, we explore Bluesky’s open social graph, DuckDB’s rise, declarative data systems, and the enduring importance of data modeling. (225 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/how-clickhouse-became-one-of-the-fastest-growing-databases-in-the-world.html): Alexey Milovidov — co-founder & CTO of ClickHouse — joins Michael Driscoll to break down why ClickHouse has become one of the fastest-growing databases in the world. This conversation goes deep on database internals, from dynamic CPU instruction optimization to probabilistic data structures to the mathematics behind hash functions. Whether you're choosing a database for low-latency queries or trying to understand why time series databases break down at scale, this is one of the most technically grounded conversations on analytical database architecture you'll hear. (221 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/designing-a-declarative-data-stack-from-theory-to-practice.html): This article chronicles that journey of discovery, examining the key architectural considerations and trade-offs in building a declarative data stack and its engine. We'll explore existing approaches, compare different implementation strategies, and work through practical examples (208 words)
- [Blog](/blog/index.html): Check out our blog with industry thought leadership pieces and important announcements from the team at Rill. (1,266 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/data-talk-on-the-rocks-sf-nov-15/index.html): Mike Driscoll, CEO of Rill, is joined by Guillermo Ranch and Ryan Blue to discuss serverless technologies and next-data infrastructure. (225 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/kishore-gopalakrishna-startree-pinot-interview/index.html): Mike Driscoll, CEO of Rill, is joined by Kishore Gopalakrishna, founder and CEO of StarTree. This video interview covers Pinot's architectural decisions and actual use cases from Uber, Stripe, and Walmart. It also highlights in depth details on Pinot's real time benefits of freshness, latency, and concurrency. (225 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/dlt-clickhouse-rill-multi-cloud-cost-analytics-cloud-ready.html): FinOps Made Easy: A Starter Repo to Oversee Cloud Costs from Different Hyperscalers. We set up a version that works cloud-native with ClickHouse Cloud and Rill Cloud. So you can share your dashboard and it scales to any cost data you might have. (208 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/ai-reveals-why-bi-still-matters-hint-its-not-dashboards.html): This article looks at how BI evolved, how dashboards are actually used today, and what survives when AI enters the picture — starting with the foundation that was never really about dashboards in the first place, and ending with the problem nobody in the AI hype cycle wants to talk about: who maintains it all. (214 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/feed-the-beast-building-a-data-stack-that-agents-love.html): At Rill, we’ve been building for high-concurrency, high-volume analytics workloads from the start, serving thousands of users exploring billions of events in our cloud application daily. Making this fast and efficient has never been just a database problem. It requires optimization at every layer of the stack, and those layers must work together tightly. 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. (197 words)
- [Build fast agentic analytics with Claude Code and Rill](/blog/data-driven-leader-series-episode-2-digital-turbine.html): We interviewed Glenn Goldman, Director of Product Management at Digital Turbine. Digital Turbine is the leading independent mobile growth platform – leveling up the landscape for advertisers, publishers & OEMs. Glenn and Mike dive deep into old world vs new world analytics with specific examples of how Rill helps Digital Turbine achieve speed and efficiency (164 words)
- [Build fast agentic analytics with Claude Code and Rill](/legal/tos/index.html): Rill Data is a simple alternative to complex BI stacks—the fastest, easiest path from data to metrics dashboards (that your users will actually use). (145 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives