ICYMI - Simon Spati interviewed Coinbase & Fresha and shares a common pattern - choose @starrocks.bsky.social when joins are key to your analytics. If you want a real-time BI tool designed to benefit from StarRocks’ real-time query performance, check out Rill. www.rilldata.com/blog/why-coi...

Our friends at Twing Data built a lightweight dashboard for AWS cost monitoring using Rill for AWS CUR data. A few key Rill features do most of the heavy lifting: 1. Automatic ingestion from S3: 2. Partition-aware updates: 3. ClickHouse under the hood Learn more: blog.twingdata.com/p/aws-cost-m...

ICYMI - on a recent Joe Reis podcast, Mike Driscoll shares insights on the "shape" of analytics, debating whether conversational interfaces will replace dashboards or simply complement them. Links below: YouTube - www.youtube.com/watch?v=tEIQ... Spotify - creators.spotify.com/pod/profile/...

Are LLMs really a breakthrough? Wes McKinney says he didn’t see it at first. Now he says if your code isn’t automatically reviewed by adversarial agents, you’re doomed. In the latest episode of Data Talks on the Rocks, Mike and Wes talk about how AI is transforming the way he builds software.

Many users have requested the ability to share AI conversations with others. With Rill 0.81, now you can send a secure link and other users can see exactly what you saw and pick up where you left off. We've also added support for Claude as your preferred AI provider. docs.rilldata.com/notes/0.81

Today, I dig into the details of StarRocks and how it is gaining traction in the real-time database world. DWH-like #joins and fast retrieval from a #Lakehouse-native data architecture, without additional data engineering work to persist and ingest data. www.ssp.sh/blog/starro...

Amazing talk about AI and the future of data visualization. @medriscoll.com argues why dashboards won't go away (can condense so much information you'd need 10 prompts) and also certain numbers you don't want to constantly prompt. E.g. speed on your car, you don't want to ask every 10 seconds 🙂

[email protected] was on The Joe Reis podcast to discuss the evolving landscape of business intelligence and data engineering. They explore why the industry keeps "rediscovering" old concepts like the semantic layer and how the rise of AI agents is forcing us to rethink how we structure data.

Our friends at Twing Data set out to build something simple: point a dashboard at S3, automatically ingest AWS Cost and Usage Report (CUR) files, and instantly get a useful set of dashboards. The whole thing is open source. Post: blog.twingdata.com/p/aws-cost-m... Repo: github.com/Twing-Data/a...

Another big feature in Rill 0.80 is the AI Developer Agent in Rill Developer 🪄 The AI agent is your developer assistant, helping you model data, create and edit Rill project files, and build Rill projects. Give it a try and let us know your experiences! Learn more: docs.rilldata.com/notes/0.80

What if your entire data stack could be expressed as a single function? run_stack(serve(transform(ingest))) Declarative data stacks: declare what you want, let the system figure out how. Same shift we saw with Terraform.

Thanks to the ~50 founders and execs who gathered last night for a live reading and candid Q&A of Ari Paparo’s book on Google. It was great to hear insights directly from folks who know how modern advertising really works. aripaparo.com/yield-the-book

In the latest Rill 0.80 release, we introduce dark mode to the entire product. We first launched dark mode in Rill Developer a few months ago, but now you can easily switch between light & dark mode everywhere! PS - if you are embedding Rill you can toggle dark mode on/off as part of the Embed API.

"I'm a ClickHouse user & a really bad user. I notice when anything is slightly not right." - Alexey Milovidov His lesson: "It's not about technology. It's about attention to details." If something annoys you, it's annoying thousands of users. Fix it. TLDR: Build what you'd actually want to use.

ICYMI - our episode with Lloyd Tabb is one of the most technically grounded conversations on the future of data tooling. See full episode here: datatalks.rilldata.com

ICYMI - we've added support for @starrocks.bsky.social. Connect directly to your StarRocks and query data in real-time without ingesting it into Rill first. This expands our support for enterprise data warehouses alongside ClickHouse, Druid, & Pinot. A big thank you to our community contributor!

Check out the new features in Rill 0.79: ✅ Comparison views to spot trends in Canvas charts ✅ Support for geospatial dimensions (mapping and regional analysis) ✅ StarRocks live connector ✅ New CLI command allows you to validate a project ✅ Metrics SQL enhancements docs.rilldata.com/notes/0.79

If you're on the market for new BI or analytics tools in 2026, take a look at Hoyt's first run experience with Rill Data. youtube.com/watch?v=lPef... Since this video, we've shipped a ton of new AI features! If you haven't tried it yet, here's a quickstart guide: docs.rilldata.com/get-started/...

"Data's such a bespoke art. Every company I've worked with has a completely different data stack; all assembling from whatever cloth we have." To kick off 2026, check out our updated episode with @lloydtabb.bsky.social. Lloyd's insight goes deeper than infrastructure chaos. datatalks.rilldata.com

What makes Rill's AI agent different? The most powerful feature of our AI Chat is its transparency, and we also designed it to be pluggable. When the AI answers your question, it automatically generates links to your dashboards, allowing you to see exactly where the numbers came from.

Rill is kicking off 2026 at #CES. If you’re interested in an AI-native alternative to legacy BI, let’s meet up. You’ll even get a personal demo from @medriscoll.com! www.rilldata.com/events/ces-2...

In Rill 0.78 (the final release of 2025), we introduce dynamic content in Markdown components. Want to take it even further? You can render HTML too! Plus, we're making the backend endpoint public so you can easily build your own programs and workflows that need access to templated data.

What a year! 2025 brought some game-changing additions to Rill Data that we're really proud of. Canvas dashboards let you build exactly what you need. Our AI chat is like having a data analyst on speed dial. We also added support for BYO-databases! www.rilldata.com/blog/rill-in...

“Sometimes the best reward isn't money. It's watching the giants scramble to copy your stupid SQL feature." - Hannes Mühleisen, DuckDB In the updated episode, we discussed: → Why they worked in secret for a year → Why 99% of analytics workloads don't need distributed systems datatalks.rilldata.com

At a recent @clickhouse.com meetup in SF, @medriscoll.com shared the importance of FinOps. His demo shows how in just a few minutes you can connect to a ClickHouse table, automatically generate a dashboard, and slice & dice to see how much you’re spending on tools. www.youtube.com/watch?v=ejOK...

@rilldata.com Gemini CLI Extension github.com/rilldata/ril...

We’re excited to share the Gemini CLI extension for Rill 🎉 Now you can instantly dive deep into analysis using Rill's metrics layer via MCP. Using Gemini's CLI and the Model Context Protocol (MCP), you can explore metrics, identify trends, and generate insights without writing queries manually.

"If it doesn't scale out, it's useless." Database reviewers dismissed @duckdb.org's approach with comments like this. 6 years later: 1M+ monthly users, 10x faster than Spark on the same hardware. We updated our DTTR episodes. Watch the full talk with @hannes.muehleisen.org datatalks.rilldata.com

#CES is about exploring the future of technology. Rill is the world's first AI-native business intelligence tool. Organizations like Comcast, DishTV, and Bloomberg use our real-time analytics to optimize digital advertising, understand product usage & monitor cybersecurity events at massive scale.

ICYMI - Matthaus Krzykowski (CEO of dltHub) joined Michael Driscoll to break down the biggest shifts happening in data engineering right now. 👉Subscribe for more conversations with the builders shaping the future of data. datatalks.rilldata.com

Do you know how Rill Time works? It gives precise control over time filters - more control than most BI tools which is key for operational analytics. This video covers: - Examples for real-time data by day or hour - Types of time range - Time grains - Time zones www.youtube.com/watch?v=PDFp...

@medriscoll.com joined Katrin Ribant on Knowledge Distillation. The episode offers a forward-looking view on the “AI analyst” skill set & the future of self-serve analytics. "Data engineering is critical because we have the opportunity to have the one human data team." ask-y.ai/knowledge-di...

Also in Rill 0.77, now you can highlight a time range in a dashboard and have the AI explain anomalies. This is useful to quickly gain insights for drops or increases in metrics and get a detailed summary as to why a metric is moving in a certain direction. Learn more: docs.rilldata.com/notes/0.77

@ssp.sh drops another great deep-dive, a declarative data stack dlt + @clickhouse.com + @rilldata.com that simplifies tracking cloud spend across multiple platforms. A complete cloud-native FinOps setup in minutes. 🔗 Explore the full walkthrough

In Rill .77, we added a dependency graph viewer that allows you to easily visualize the dependencies within a project to see how changes to a model could affect downstream metrics. We also added the ability to generate test data using AI. This is super useful to get up & running in Rill Developer.

Alright, now also with ClickHouse and Rill Cloud integration, all done through GitHub Actions and dlt. The promise: FinOps Made Easy.

Code-first data tools were built for experts. Then AI made them accessible to everyone. On the new episode of Data Talks on the Rocks, @medriscoll.com and dltHub's Matthaus Krzykowski break down the shift: LLMs are abstracting away complexity in data pipeline building, and the results are dramatic.

What makes this project from @ssp.sh worthwhile is the end result: a clear overview of your actual costs across clouds. Everything is made composable, meaning you can add extra extraction with dlt or query and visualize additional data with Rill without spinning up infrastructure.

"This is actually the most interesting business intelligence tool that no one knows about. And for good reason because it gives you a super power." Thank you Anil Vaitll (Co-Founder & CTO NOCD for showcasing the power of Rill & @clickhouse.com com meetup in Chicago. www.youtube.com/watch?v=ctbG...

Each integration came together quickly: Stripe with just a token, AWS CUR from S3, and GCP billing straight from BigQuery. This powerful tool stack combined with dlt's connectors, @duckdb.org and @rilldata.com's interactive dashboards, deliver a real-time, consolidated analytics view.

ICYMI - @medriscoll.com sat down with Joe Reis for a breakdown of what Joe calls the “Great Data Reset". Top Takeaways: - AI has vaporized old advantages - giving sharp builders new leverage - Classical ML + NLP are coming back swinging - How to stand out when 500+ engineers flood every job posting

This next article tackles the challenge of getting multi-cloud cost insights with a simple pre-setup framework that is extensible with dlt. The project that comes with this article contains incremental import pipelines, models them in metrics, and showcases them as unified dashboards.

Here's a guide to analyze your own Git project. The result is an interactive dashboard that offers actionable insights. Ex: - What parts of your codebase have most churn? - Do some contributors have large commit tendency? - How does weekly productivity change? docs.rilldata.com/guides/githu...

“You might ask ‘how can we know this information is right?’ The answer is we’ve taken the time to define every metric so the agent is consistent every time”. Thank you Salomon Vaisberg from Drio Tech for highlighting Rill's agentic analytics in your webinar. www.youtube.com/watch?v=i7dH...

Data Talks on the Rocks is BACK 🥃 AI shockwaves, mass consolidation, & collapsing toolchains have pushed every practitioner back to zero. But Joe Reis flips the script: this isn’t a meltdown - it’s the biggest opportunity builders have had in a decade. Find the episode here: datatalks.rilldata.com

Data Talks on the Rocks is where builders sit down, trade stories, & get real about the work. The failures that taught more than any victory. No hype, no jargon, just real conversations about how things actually get built. A podcast for the ones that keep building. Subscribe👇 datatalks.rilldata.com

Our last feature highlight from the Rill 0.75 release is Canvas bookmarks. Save specific views of your Canvas visualizations, revisit them instantly, or share insights with your team. Perfect for tracking metrics or comparing perspectives on your data. Learn more: docs.rilldata.com/notes/0.75

We're re-launching Data Talks on the Rocks - the newest episode with Joe Reis drops on Nov 18. Who’s a builder in data engineering you’d like to hear from? Past guests - Hannes Muhleisen (DuckDB), Guillermo Rauch (Vercel), Alexey Milovidov (ClickHouse), Lloyd Tabb (Looker) datatalks.rilldata.com

In Rill .75, AI agents can now return rich visualizations directly in the chat. We also updated the homepage to help you get started faster! This builds on the last release of citation URLs & full semantic layer access, making Rill’s AI agent even more powerful for analysis and collaboration.

Rill 0.75 is out with tons of exciting features we'll highlight over the week. Up first is Dark Mode for Rill Developer 😎 We carefully refined chart palettes and UI elements so everything looks great in both light and dark themes. Keep an eye out for dark mode support in Rill Cloud coming soon!