This Thursday I'm going to be talking about basic ClickHouse scalability with a practical example that ingest 1 billion rows per second. I'm going to explain the cluster setup, tables, tricks and other stuff. It's easier than it looks but you always learn something. Link -->

Ingest 1 Billion Rows per Second in ClickHouse (with Javi Santana) x.com/i/broadcasts/1…

After 3 incredible years at Tinybird, it's time for my next adventure. I really enjoyed other people's tales of what companies are like from the inside, so here are my reflections on Tinybird: rbarbadillo.github.io/tinybird

As someone who has maintained a private Chromium fork —a 32M lines of code project— for a few years, for stealth and privacy purposes, I know what this means and how it hurts: it’s a TITANIC effort that eventually pays off. It’s not easy, it’s not fast, but it’s needed. 🚀

Tomorrow we are sending a new issue of our mailing list where we collect the best data, IA and engineering links from the team tinybird.co/schema-evoluti… This time also with some comments about how egress costs are killing innovation

We just announced our Open Source Program: get credits and support for integrating Tinybird into your OSS project. But why use Tinybird for open source? Here's why, in the words of some of our favorite OSS founders👇 h/t Steven Tey Thomas Rausch Marc Seitz — oss/acc Maximilian Kaske 🏓 🦋 @thibaultouay.dev

Aitor nos ha dejado esta noche. Demasiado pronto y con mucha cosas por hacer. Era una persona inteligente , con muchísimas inquietudes y ganas de ayudar y escuchar a todo el mundo. El vacío que deja en nuestros corazones no podremos llenarlo jamás. Te queremos de aquí a la luna y

This must be the number 🥇 feature we 'dog food' at Tinybird all the time. I use it several times a day to understand what certain customers or doing or to understand how we are doing on marketing or website visits. Developers use it to troubleshoot problems and chart

Next week: Real-time Postgres CDC analytics with Supabase, Sarah Smith, and Tinybird Postgres is the perfect application database for transactions, and Supabase makes it much easier to deploy and manage at scale. ClickHouse is the perfect application database for analytics, and

Loved this by Dan Shipper 📧 at Every 📧

Very surprised, I would have expected much better 🤨