▶️ Missed the live #webinar? Now on-demand: 10ms Queries on Iceberg

Benjamin Wagner breaks down how to run low-latency, high-concurrency #analytics directly on open table formats like #Iceberg.

🎥 Watch it here: www.firebolt.io/knowledge-ce...

This time on the Data Engineering Show: Paarth Chothani from Uber shares how they're innovating on-call support with AI 🤖

Tune in: www.firebolt.io/blog/buildin...
Spotify: bit.ly/4nZd6wE

#AI #dataengineering #podcast

Performance benchmarks don’t lie.

We ran 25 real-world queries across Firebolt, Snowflake, Redshift, and BigQuery.

Firebolt’s smallest engine outperformed every config tested - even Snowflake XL.

▶️Watch: bit.ly/4532RyN
📝Read: bit.ly/3IE5VtP

#dataengineering #benchmarks #cloudatawarehouse

🚀 From 2 million to 100 million users in just a few years

How did Notion scale their data stack to handle this explosive growth? Sumit Gupta, Lead BI Engineer at Notion, breaks it down.

Tune in: bit.ly/4527Xv0
Spotify: bit.ly/45is6z0

#datascaling #moderndatastack #analytics

New to Firebolt? Start here 🚩

Introducing Firebolt Workshops - a new hands-on video series to help you learn Firebolt fast.

Get started with “What is Firebolt," a quick intro to Firebolt’s #architecture and how it supports low-latency #analytics at scale.

🎥 bit.ly/4o1nHHj

*This time on The Data Engineering Show*

DuckDB Labs CEO Hannes Mühleisen explores what happens when you don’t optimize for distributed compute—and instead focus on elegance, simplicity, and local analytical power.

Tune in: bit.ly/4l9EDKb
Spotify: spoti.fi/41C0wJx

🏗️ AI is transforming data movement, not just analysis.

Daniel Pálma from Estuary joins us to discuss AI-driven optimization, vector databases, and the future of #ApacheIceberg & #datalakehouses.

Tune in: bit.ly/4k8BHNt
Spotify: spoti.fi/42Ss5jQ