Founder Intelligence

Ali Ghodsi

Data and AI are inseparable. You cannot build reliable artificial intelligence without a unified data fabric that governs and processes enterprise truth.

Role
Chief Executive Officer & Co-Founder
Company
Databricks
Country
United States
Company founded
2013

Known for

Databricks pioneered the Data Lakehouse architecture and enterprise AI platform, unifying data engineering, Apache Spark computing,…

Ecosystem Connection Map

How this founder connects across companies, products, industries, and research on Brel.

Overview

Structured founder intelligence — role, focus, and why this person matters in the AI ecosystem.

Dr. Ali Ghodsi is a Swedish-Iranian computer scientist, academic, and technology executive serving as Chief Executive Officer of Databricks. Ghodsi co-founded Databricks in 2013 alongside fellow UC Berkeley researchers, establishing the Lakehouse architecture that underpins modern data engineering and enterprise AI.

Why it matters

Ghodsi created the computational foundation that powers enterprise machine learning, enabling organizations to unify structured business intelligence with unstructured generative AI on a single platform.

Editorial insight

Ghodsi co-founded Databricks in 2013 with the creators of Apache Spark and serves as CEO, placing him at the center of the lakehouse and enterprise data-AI platform category.

Career & Timeline

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Academic Career & Apache Spark

Ghodsi earned his Ph.D. in distributed computing from KTH Royal Institute of Technology in Stockholm. He joined UC Berkeley as an adjunct professor in the Electrical Engineering and Computer Sciences (EECS) department and a core researcher at the AMPLab, where he co-invented Apache Spark, Apache Mesos, and Dominant Resource Fairness (DRF).

Databricks Leadership & Mosaic AI

Under Ghodsi's tenure as CEO since 2016, Databricks transformed from an open-source analytics project into one of the world's most valuable private enterprise software companies, acquiring MosaicML to integrate generative AI model pretraining directly into the Databricks Lakehouse platform.

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Products

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Technologies & Expertise

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Funding

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  • December 2025–February 2026: Completes a Series L funding round exceeding $5 billion in equity plus $2 billion in new debt capacity, at a $134 billion valuation.
  • June 2026: Reported to be in talks for a new funding round that could value the company between $165 billion and $175 billion, ahead of a potential 2027 IPO.

Latest Developments

Recent milestones from the connected organization.

  • CEO Ali Ghodsi repeatedly states that 2026 is "a terrible year to go public," citing a crowded field of mega-IPOs, while confirming the company will eventually list. Latest
  • December 2025–February 2026: Completes a Series L funding round exceeding $5 billion in equity plus $2 billion in new debt capacity, at a $134 billion valuation.
  • February 2026: Reports annualized revenue exceeding $5.4 billion, up 65% year over year.
  • June 16, 2026: Reports annualized revenue of $6.9 billion at its Data and AI Summit, up more than 80% year over year, with $1.7 billion of that from AI products.
  • June 2026: Reported to be in talks for a new funding round that could value the company between $165 billion and $175 billion, ahead of a potential 2027 IPO.

Related Intelligence

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FAQ

Answers restated from verified fields on this profile.

Who is Ali Ghodsi?

Ali Ghodsi is an Iranian-Swedish computer scientist and entrepreneur serving as the Chief Executive Officer and co-founder of Databricks, the multi-billion dollar data and AI company.

What academic breakthroughs did Ali Ghodsi contribute to?

At the UC Berkeley AMPLab, Ghodsi was one of the key creators of Apache Spark, the open-source distributed computing framework that replaced Hadoop MapReduce across the tech industry.

What is the Data Lakehouse architecture created by Ali Ghodsi's team?

The Data Lakehouse combines the massive, low-cost object storage of data lakes with the ACID transactions, data governance, and query performance of data warehouses.

Sources & Verification

Verified
Last reviewed Aug 2026

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