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Databricks is apparently worth $100B. What do they even do?

What we should really be asking is “What does Databricks not do?”

Published Aug 26, 2025analytics
Justin Gage
Justin Gage
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If you’re like me, you are probably a little bit confused about Databricks.

To the innocent onlooker, it sometimes feels like they are constantly announcing some new fundraising round, multiple times per year, each with a comically larger valuation than the next. Their most recent of these comically large valuations is $100B (yes, one hundred billion), making them one of the 5 most valuable private companies in the world. At this point, Databricks has raised so many funding rounds that they are running out of letters in the alphabet to designate them (this is their Series K, by the way).

All of this begs the obvious question. What does Databricks actually do?

Terms Mentioned

Training

Open Source

Cloud

Framework

Infrastructure

Production

Data lake

Analytics

Data warehouse

Machine Learning

Database

Vector Database

Query

Companies Mentioned

OpenAI logo

OpenAI

PRIVATE
Databricks logo

Databricks

PRIVATE
Snowflake logo

Snowflake

SNOW

It’s not like their website headline clears things up at all.

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What is a data intelligence platform? Judging by the imagery, you’d be justified to believe Databricks somehow got a $100B valuation by selling these:

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The magic eight ball says: don’t count on it.

I first wrote about this frankly very odd company back in 2020, when they were only worth a paltry $6B. Here’s the TL;DR that I put atop the post:

Databricks sells a data science and analytics platform – i.e. a place to query and share data – built on top of an open source package called Apache Spark.

- Apache Spark is an open source engine for running analytics and machine learning across distributed, giant datasets

- Spark is notoriously hard to run on your own infrastructure and companies often don’t have the expertise to do that

- Databricks provides a managed service for running Spark clusters, as well as notebooks for visualization and exploration, plus the ability to schedule pipelines

- More recently, Databricks has been expanding the product portfolio to include ML and data warehousing

This is a pretty big company, all things considered - $6.2B was their most recent valuation, and they’re planning on going public in 2021.

A lot has changed since then (except the fact that Databricks is still private. Planning on going public in 2021. We all fell for that one). The world is awash in Generative AI. The entire corporate universe is uprooting their playbooks and shifting towards AI, OpenAI and Anthropic are worth hundreds of billions of dollars[1] By this all I mean is that someone was willing to buy their shares at this price. They are not “worth” hundreds of billions in the sense that a Rolex, or say a bar of gold, is “worth” their respective prices., and NVIDIA is selling GPUs faster than they can make them.

This is all to say that Databricks is no longer just The Spark Company™. Over time, they’ve become simply a one stop shop for everything related to a company’s data, from training models to storing data to building pipelines with it. Like Snowflake, they are positioning themselves as the all-in-one “data universe” where anything you’d conceivably want to do that involves any sort of data can be done, no other vendors required. And, of course, AI stuff.

Moving data

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In this post

  • Moving data
  • Storing data
  • Analyzing data
  • AI stuff
  • So what does Databricks do?

More in this track

What does Snowflake do?

Snowflake sells a powerful cloud data warehouse for analytics and data science teams.

What does OpenAI do?

OpenAI is the most popular provider of generative AI models like GPT-4.

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