Databricks

Private companydatabricks.com

Private companies don't file much publicly, so some answers are best guesses. Each one is marked.

In one line

“They’re basically a central hub where companies store, analyze, and build AI on their data.”

Databricks gives companies one place to store all their data, run analytics on it, and build AI tools. Think of it like a smart filing cabinet that not only organizes everything but also helps you find patterns and build applications on top of your files. Instead of juggling five different tools (one for storage, one for queries, one for AI), you do everything on Databricks.

How they make money

Main wayCompute usage charges

Companies pay per second for the computing power they use to run data jobs and AI workloads. They can choose pay-as-you-go pricing or commit to certain usage levels for discounts.

Stated
Also makes money from
  • Enterprise support and consultingDatabricks offers premium support packages and professional services to help large customers deploy and scale their data and AI initiatives.Best guess
  • Startup creditsQualifying startups receive up to $200K in credits to use the platform, which eventually converts to paying customers as they scale.Stated

What it looks like

If a data engineer at a Fortune 500 company signed up today:

  1. You connect your data sources

    You plug in wherever your company's data lives—databases, data warehouses, files—and Databricks ingests it all.

    Best guess
  2. You build and run pipelines

    You write code (often in SQL or Python) to clean, transform, and organize the data, and Databricks handles running it at scale.

    Stated
  3. You query data or train AI models

    Analysts run reports and get instant answers; AI teams use that same data to build and deploy models—all on the same platform.

    Stated
Screenshot of homepage
Homepage open
Screenshot of product page
Product page open
Screenshot of pricing page
Pricing page open

The fluff, decoded

6/10
They say

“Unify your data, analytics and AI”

It means

Everything lives in one place instead of multiple systems.

They say

“Build high-quality, production-ready AI agents grounded in your data”

It means

Create working AI that uses your real company data, not generic training data.

They say

“Eliminate legacy warehouse costs and lower TCO with an open, intelligent data warehouse”

It means

Costs less than old systems and you're not locked into one vendor.

Every quote is checked against their homepage. If it isn't really there, it gets dropped.

Follow the incentives

Best guess
Who pays

Enterprise companies and startups pay Databricks for cloud compute usage, with over 60% of the Fortune 500 among their customers.

Who uses it

Data engineers, data analysts, machine learning engineers, and business users all use Databricks to work with company data and build AI applications.

So they want

They want customers to consolidate all their data work in one place and keep paying for more compute as workloads grow.

Competes withSnowflakeAmazon RedshiftGoogle BigQueryApache Spark (open source)

Say it at dinner

“Databricks lets companies put all their data and AI in one place and pay only for what they use.”

Receipts

Updated
What the labels mean
Verified
From a government filing, like an SEC annual report
Stated
The company says it on its own website
Best guess
Our reading of the sources when nothing says it outright
Background
From Wikipedia, for history only, never numbers

Written by AI from public sources. It can be wrong, and it isn't financial advice. Terms

Something wrong?

Know Databricks well? Tell us what to fix. Fixes from a company email are marked as coming from the company.