Tinybird

This Thursday on Tinybird Builds: Javi Santana will spin up a ClickHouse cluster with 1B rows/s streaming ingestion while discussing ClickHouse scaling, perf, and (probably) naturally-aspirated engines. 🏎️ You can get notified by subscribing to Tinybird Builds on YouTube -> https://tbrd.co/builds-yt Want to study up before the build? Check out Javi's blog post -> https://tbrd.co/ch-1b-rows

Come learn how to build a powerful, flexible, and fast filtering system for your real-time dashboard. We'll build a fully-functional real-time web analytics dashboard with a powerful click-to-filter feature, allowing the dashboard to show metrics, time series charts, and tables filtering by any combination of selected dimensions. It's the ultimate dashboard filter, implemented live. You'll learn how to: - Dynamically query your database based on any filter, directly from the application - How to optimized database table schemas and SQL for high performance reads regardless of filtering dimension (and without needing many indexes) - How to integrate your dashboard frontend with a real-time analytics backend

👷🏻♂️🛠️ Today on Tinybird Builds: How to add high-performance cross-dimensional filtering to your user-facing dashboards. This is a problem a lot of software engineers face. It's relatively simple to add high-performance, single-dimension filtering using indexes or sorting keys, but what happens when you want to filter on multiple dimensions simultaneously? Join us today as we seek to solve that problem, live. We'll lean on Tinybird Code - our AI "ClickHouse expert" - to help us update our data pipeline to support cross-dimensional filtering at scale. You'll learn things like: - How to create good context for your LLM - How to set up and run data API tests to identify potential drift - How to leverage materialized views for performance Join us on LinkedIn below 👇

Want to install ClickHouse on your own server? OSS ClickHouse isn't your only option. Check out Tinybird self-managed regions: you get to own your infra destiny while still getting the benefits of Tinybird's ClickHouse-based service. Perfect for commercial OSS companies who want Tinybird goodness with flexible deployment models. More info in this blog post: https://tbrd.co/install-ch

This Wednesday on Tinybird Builds... Build a real-time dashboard that can filter on any dimension. Cameron Archer will extend our popular Web Analytics Start Kit with click-to-filter functionality, enabling real-time dashboards that filter on any dimension (or any combination of dimensions). Join if you're building dashboards - we'll show you how to maintain high performance even when you're filtering by 10+ dimensions. 🗓️ Wed. Aug 27 @ 1730 CET / 11:30 AM ET 📍 YouTube More info + how to subscribe in the comments.

Security doesn't belong in the prompt. It belongs at the data layer. By enforcing row-level access control (RLAC) with signed tokens, the Tinybird MCP Server ensures that your LLMs never leak data - even under prompt injection, jailbreaks, or hallucinations. Want to build LLM apps that don’t scare your security team? Understand prompt injection, how it can lead to data leakage, and how to stop it with row-level access control. Details in our latest blog post, linked in the comments.

ClickHouse is powerful and scalable database. We wanted to see if we could consistently ingest at least 1 billion rows per second into our ClickHouse database. Come join us as we build a live ClickHouse ingestion service capable of achieving billion-row-per-second ingestion, and we'll discuss all the gotchas and corner cases you'd need to handle when operating ClickHouse at this scale.

Tair Asim knew he wanted to use #ClickHouse. But he also knew he didn't want to self-host. The engineering team at sync. wanted to focus on shipping, not setting up infra. Speed is a competitive advantage; they wanted to ship features and get to market fast. Tair heard about Tinybird from Steven Tey at Dub.co, how it could handle massive scale without requiring any of the typical infra headaches associated with ClickHouse. That's why Sync chose Tinybird as the analytics backend for their new usage-based billing program: It gave them the fastest and most scalable path to integrate ClickHouse into their application. You can read more about how Sync built a complete AI-model usage-based billing backend in a week using Tinybird. You'll find the link in the comments.