Databricks

Up to $200,000 in credits

Save up to $200,000

AI & Data

Databricks for Startups gives qualifying early-stage, venture-backed companies up to $200,000 in credits for the Databricks Data + AI Platform and Neon serverless Postgres, plus hands-on technical guidance. Databricks is the unified data and AI platform used to run analytics, data engineering, and machine learning on one lakehouse.

What you get

Up to $200,000 in credits across Databricks and Neon
Credits apply to the unified Databricks Data + AI Platform, including Spark, Delta Lake, Databricks SQL, and Mosaic AI
Neon serverless Postgres credits bundled in the same package
Hands-on technical guidance from Databricks engineers to architect and ship faster
Solution Accelerators, reference architectures, and product tours
Access to the Databricks VC partner network and founder community events

Who can claim it

Qualifying early-stage startup building on data and AI; apply directly or ask your investor to nominate you (Databricks partners with select VC firms).

Questions

What does the Databricks for Startups deal include?

Qualifying startups receive up to $200,000 in credits for Databricks and Neon. The credits offset platform usage while you build data and AI products. The program also includes hands-on technical guidance from Databricks engineers, Solution Accelerators, reference architectures, and access to a founder community and VC partner network. The $200,000 is a maximum. The amount you receive depends on your stage and qualification.

Who is eligible for the Databricks startup program?

The program targets early-stage, venture-backed startups. Databricks says the program is for qualifying startups building on data and AI. There is no published hard rule on company age or headcount. Databricks says the fastest way to confirm eligibility is to apply or ask your investor, since the review is done case by case.

How do the credits work?

Databricks bills on consumption, measured in Databricks Units (DBUs), with per-second granularity. Credits draw down against that usage. A DBU is a normalized unit of processing power, and different compute types burn DBUs at different rates. Note that on classic compute, credits cover Databricks charges but not the underlying cloud VM costs from AWS, Azure, or Google. Serverless compute folds infrastructure into the DBU rate.

How do I apply?

Apply directly through the application form at databricks.com/product/startups. If one of your investors is a Databricks VC partner, such as Andreessen Horowitz, Battery, General Catalyst, Insight Partners, Menlo Ventures, or NEA, ask them to nominate you for an additional path in. Databricks reviews applications even from founders who are unsure they qualify, so applying is the way to get a decision.

What happens when the credits run out?

Your account converts to standard pay-as-you-go pricing on the plan you were using. Nothing is deleted and no workloads stop. You keep running on the same workspace and start paying the normal per-DBU list rate for your tier and cloud. Plan ahead by watching consumption in the account console so the switch from free credits to billed usage does not surprise you.