Mañana a estas horas estaré en #CodemotionMadrid25 contándote cómo procesar y analizar datos rápidos en tiempo real usando open source. Hablaré de proyectos como Kafka, #QuestDB, o Grafana, pero tambien de formatos para datos y de qué problemas te vas a encontrar.

HOYGAN! Este viernes estaré en @commit-conf.com. Aprovechando que no es un evento virtual podemos hacer networking sin LinkedIn de por medio. Networking de café y sobao pasiego. Ya si eso, yo hablaré de cosas como Iceberg, Arrow o Parquet, y de cómo afectan a las bases de datos rápidas

This is what happens when you put together QuestDB and github.com/finos/perspe..., a data visualization tool designed for large and streaming data. Look at this cool blotter updating every 50ms with market data coming from QuestDB.

And that, kids, is how PHP made it into our codebase. A user on PHP hit a QuestDB 8.2.2 issue. We gave an immediate workaround, then @jerrinot.bsky.social shipped a permanent fix 11 days later—with a new PHP test runner for coverage on par with Python or Rust. Community collaboration FTW!

i'll be presenting tomorrow at #OSA conference about how you can analyze large amounts of streaming data in real-time using open source tools (AVRO+Kafka+QuestDB+Grafana+Jupyter Notebook). It is free to join and they have a ton of other interesting talks osacon.io

Calling all open source data analytics lovers! This year at @fosdem we will have a DevRoom for the whole Saturday to talk about anything and everything data. Call for Presentations is open until the end of November. More info at javier.github.io/data_analyti...

A few weeks ago I spoke at #bigdataldn about how the #questdb team sees the future of fast databases. I've now written a summary for our blog questdb.io/blog/the-fut.... Highlights of our thinking in the thread 🧵