Databricks
Overview
Databricks is the pioneer of the data lakehouse, a unified platform for data science, machine learning, data engineering, and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to accelerate AI innovation and help data teams solve the world's toughest problems with its industry-leading Databricks Lakehouse Platform.
Seven academics who had never run a company argued the warehouse and the lake were one product. We wrote the first institutional check on that argument in 2013 — and joined eleven of the fourteen disclosed rounds since.
The thesis was never Spark; it was the flywheel. Give the standard away — Spark, Delta Lake, MLflow — and become the obvious place to run it. That pattern held through the lakehouse and is holding again through AI, with models training inside the same boundary as the data.
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Product story
Matei Zaharia builds Spark as a PhD project at UC Berkeley’s AMPLab: an in-memory answer to MapReduce that runs orders of magnitude faster on iterative work. It stays an academic project for four years, and it is the foundation everything since is built on.
Funding rounds
Team
Ali GhodsiCo-founder & CEOOne of the seven Berkeley researchers behind Apache Spark. Took the CEO seat in 2016 and has run the company from early revenue to a $190B valuation.LinkedIn ↗
Matei ZahariaCo-founder & CTOWrote Spark as his PhD project at the AMPLab and created MLflow. Still teaches at Berkeley and sets the technical agenda.LinkedIn ↗
Reynold XinCo-founder & Chief ArchitectTop Spark contributor by commits. Owns the architecture of the lakehouse runtime and the Delta Lake format.LinkedIn ↗
Arsalan Tavakoli-ShirajiCo-founder & SVP, Field EngineeringBuilt the go-to-market motion from zero. Runs the field organization that most new engineering and GTM hires work alongside.LinkedIn ↗Six culture principles
How we work ↗We are customer obsessed
What's best for the customer is best for Databricks.
We raise the bar
Every day is a chance to do better, as team members and as a company.
We are truth seeking
Decisions are made on data, and revisited as it changes.
We operate from first principles
To build lasting impact, start with why.
We bias for action
Debate, plan, execute — and iterate — with urgency.
We put the company first
Do what's best for the company; it incorporates all the rest.
