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Ali Ghodsi

Ali Ghodsi

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Databricks CEO & Co-founder, UC Berkeley Faculty

Recent Posts

AI Tools Remove Data Barriers, Driving Explosive Growth
Social•Feb 9, 2026

AI Tools Remove Data Barriers, Driving Explosive Growth

I now constantly get questions about the SAAS meltdown, role of AI, system of records etc. I don't have an answer to all these. But I do know that we saw an acceleration in our business in Q2, Q3, and now finished the year with accelerating Q4. The question is, why? Short answer: AI. But the underlying reason is subtle. We are growing fast because we are finally removing the biggest bottleneck in data: the technical barrier to entry. For years, if you didn’t know SQL, Python, you were locked out of the value chain. That has changed fundamentally with the 𝐆𝐞𝐧𝐢𝐞 𝐟𝐚𝐦𝐢𝐥𝐲, and it is the "secret sauce" behind our recent momentum: • 𝐆𝐞𝐧𝐢𝐞: Analysts can query data without any SQL. I use this every day myself. • 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐆𝐞𝐧𝐢𝐞: Builds end-to-end AI models for you, similar to Cursor for ML on your data. • 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐆𝐞𝐧𝐢𝐞: Write Spark pipelines, does plumbing, troubleshooting. We've been talking about DATA + AI democratization, but generative AI finally enabled it in a way that wasn't possible before. That's why we're seeing a market response. Take 𝐋𝐚𝐤𝐞𝐛𝐚𝐬𝐞 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐬. We launched this serverless engine for agents and apps recently. At 8 months into its journey, its revenue is already 2x what our Data Warehouse product was at the same stage. All this taken together, we ended up with the following stats for Q4: 🚀 $5.4B Revenue Run-Rate, growing >65% YoY 🚀 $1.4B AI Revenue Run-Rate 🚀 FCF Positive for the year 🚀 NRR >>140% https://t.co/yq3riYyr8r

By Ali Ghodsi
Master Databricks Agent Skills with Gavita’s Tutorial
Social•Jan 21, 2026

Master Databricks Agent Skills with Gavita’s Tutorial

Checkout this video of how to use Agent Skills in Databricks. 👩🏽🔬 Gavita does a great job in this video.

By Ali Ghodsi
Lakeflow’s External Orchestration Now Powers Multi‑Cloud Workflows
Social•Dec 30, 2025

Lakeflow’s External Orchestration Now Powers Multi‑Cloud Workflows

Yes, since we added "External Orchestration" to Lakeflow more and more ppl use it to orchestrate all their estate, not just Databricks jobs/Spark etc, but also EC2 machines, other platforms (e.g. Snowflake), scripts, etc.

By Ali Ghodsi
Reliability Drives Massive Shift From Airflow to Lakeflow
Social•Dec 11, 2025

Reliability Drives Massive Shift From Airflow to Lakeflow

This post explains why we've seen massive migration from Airflow to Lakeflow in Databricks over the last 3 years. We started 3 years ago to focus on these workloads because reliability is the most important thing when you're running data...

By Ali Ghodsi