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Databricks

Databricks Startup Program

Up to $200,000 in credits across Databricks and Neon for venture-backed startups from pre-seed through Series A.

DatabaseNo referral needed7–14 day reviewModerate to apply
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In a sentence

Databricks Startup Program offers Up to $200,000 in credits to pre-seed, seed, series a startups, no VC referral required. Review takes 7–14 business days.

Max value
Up to $200,000 in credits
Credits valid
12 months
Regions
Global
Last verified
Sep 2026

About

Databricks acquired Neon in May 2025, and the standalone Neon startup program was folded into the Databricks Startup Program in June 2026. It offers up to $200,000 in credits spanning both the Databricks lakehouse platform and Neon serverless Postgres.

Neon itself is unchanged as a product: serverless Postgres with copy-on-write branching that clones data instantly, scale to zero after five minutes idle, and support for pgvector, pg_cron, and PostGIS. Its free tier gives 0.5 GB of storage and 100 compute-unit hours per project per month across up to 100 projects.

One thing to plan around on the free tier: exceeding any limit suspends compute until the next billing month rather than throttling or charging an overage, so set up billing before you have real users.

Tiers

Databricks + Neon credits
Up to $200,000 across Databricks and Neon
  • Venture-backed, pre-seed through Series A
How to qualify: Apply at databricks.com/product/startups.

Eligibility

✓ You qualify if
  • Venture-backed
  • Pre-seed through Series A
✗ You don't qualify if
  • Series B+
  • Bootstrapped typically need to negotiate

How to apply

  1. 1
    Apply
    Go to databricks.com/product/startups.
    www.databricks.com/product/startups ↗
  2. 2
    Share usage plan
    Include realistic usage projections for the 12-month period.
  3. 3
    Wait
    1–2 week review.

What else you get

  • Priority support
  • Early access to new features
  • Branching for dev/preview environments

What credits cover (and don't)

✓ Covered
  • Neon Postgres
  • Compute, storage, branching

Tactical tips

  • Tip 1.The branching feature (per-PR databases) is the real win, use it in your application to justify the credits.
  • Tip 2.Bring usage projections, credits are negotiated, not fixed.
  • Tip 3.Pairs well with Vercel + Next.js apps, first-class integration.

Common rejection reasons

  • No institutional funding
  • Unrealistic usage projections

Frequently asked about Databricks Startup Program

Is Databricks Startup Program free to apply?

Yes. Applying to Databricks Startup Program does not cost anything and does not require giving up equity. Some programs require a payment method on file that activates only after credits are consumed or expire, check the program detail page for specifics.

How long does Databricks Startup Program take to review applications?

Processing times are shown on the program detail page. Most programs reply within 1–3 weeks. Self-serve tiers (like AWS Activate Founders) can approve in 2–7 days; partner-referred tiers (like AWS Activate Portfolio) usually take 5–10 days.

Can I combine Databricks Startup Program with other startup programs?

Most programs stack. The "Stacks well with" section on each detail page lists commonly combined programs. A few important exceptions: if you already claimed AWS credits via Brex or Mercury, your direct AWS Activate amount may be reduced.

What is the most common reason applications to Databricks get rejected?

The top rejection reasons are (1) using a personal Gmail/Outlook address instead of a company domain, (2) having a thin or placeholder website, and (3) mismatched information between the application and Crunchbase/Pitchbook. The tips section on the program page details program-specific factors.

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