AWS vs Google Cloud

AWS Activate vs Google Cloud credits: choose by workload, not headline number.

The right path depends on provider fit, current usage, AI/data needs, migration cost, and whether a partner can route a credible case.

Check Eligibility Main page

AWS Activate and Google Cloud startup credits are not interchangeable coupons. AWS may fit teams already building on AWS. Google Cloud may fit AI, data, analytics, Firebase, BigQuery, Vertex AI, Gemini, or migration-heavy cases. The practical question is where the startup can grow usage credibly.

Paths we check

The right answer is not always the same benefit. We look at the case before forcing a path.

AWS-first route

Best when the product already runs on AWS and the next support path is tied to real usage growth.

Google Cloud route

Best when AI, data, analytics, Firebase, BigQuery, Vertex AI, Gemini, or migration logic creates real provider fit.

Post-credit route

If one provider's credits are ending, compare actual full-bill economics before moving.

Partner-backed review

A partner can help decide whether credits, discounts, terms, or funded work are most realistic.

Good fit

  • + You know current provider usage and which workloads are driving cost.
  • + AWS or Google Cloud has a real technical reason to support the roadmap.
  • + AI, data, customer deployments, or migration work explain projected usage.
  • + You have funding, customers, grant support, or a launch trigger.
  • + You are comparing credits with discounts, payment terms, and funded work.

Weak fit

  • - Choosing only by the biggest advertised credit amount.
  • - Planning a migration without engineering or customer justification.
  • - No current usage, no workload clarity, and no growth trigger.
  • - Trying to stack providers with no real provider fit.
  • - Expecting guaranteed credit approval.

How the check works

1

Map current usage, prior credits, and workload drivers.

2

Compare AWS and Google Cloud technical fit.

3

Estimate migration cost and post-credit run-rate.

4

Route the strongest provider case or avoid a weak application.

Detailed guide

The operator version

Practical checks, edge cases, and decision rules for this route. No generic provider-program summary.

AWS Activate and Google Cloud startup credits solve a similar problem, but the right path depends on your startup's stage, provider fit, workload, funding, and prior credit history.

Do not choose only by the largest number on a public page. Choose based on which provider you can credibly build on.

AWS publicly describes AWS Activate Credits of up to $100,000 for eligible startups. Google publicly describes Google for Startups Cloud Program benefits with up to $200,000 in cloud credits, or up to $350,000 for AI-first startups.

Those are ceilings, not guarantees.

TL;DR

  • AWS Activate is often the default first path for startups already building on AWS.
  • Google Cloud can be especially strong when AI, data, Firebase, BigQuery, Vertex AI, Gemini, or migration fit is real.
  • AWS Portfolio depends on an Activate Provider relationship and Org ID.
  • Google Cloud AI startup credits require a stronger AI-specific case.
  • Prior credits matter for both paths.
  • The best path may be credits, but it may also be discounts, terms, project funding, or funded help.

Quick comparison

Question AWS Activate Google Cloud startup credits
Public credit ceiling Up to $100,000 for eligible startups Up to $200,000, or up to $350,000 for AI-first startups
Common fit Startups building on AWS, especially with Activate Provider access Startups with Google Cloud, AI, data, Firebase, or migration fit
Provider relationship Activate Provider matters for Portfolio Google Cloud partner/startup program route may matter
AI angle Bedrock and AWS AI services can be relevant Vertex AI, Gemini, GPU, data, and AI-first product fit can be relevant
Prior credits Prior AWS Activate amount matters Prior Google Cloud credits matter
Best question "Do we fit Founders or Portfolio?" "Is Google Cloud technically and commercially credible for us?"

When AWS Activate is the stronger first path

AWS may be the stronger path when:

  • You are already building on AWS.
  • The product architecture is AWS-native.
  • Your investor, accelerator, or startup organization is an AWS Activate Provider.
  • You have the provider Org ID.
  • You are pre-Series B and founded within AWS's stated startup age range.
  • You need Bedrock, EC2, RDS, S3, Lambda, or other AWS-native services.

AWS says its Portfolio route requires association with an Activate Provider and an Organization ID, while Founders is for earlier-stage startups that are new to AWS Activate Credits.

When Google Cloud is the stronger first path

Google Cloud may be stronger when:

  • AI is core to your product.
  • Vertex AI or Gemini is technically relevant.
  • You are building with Firebase or Google Cloud-native services.
  • BigQuery, Looker, analytics, or data infrastructure are central.
  • You have a real AWS-to-Google migration reason.
  • You are a seed to Series A AI-first startup with clear usage growth.

Google's AI startup program publicly describes up to $350,000 in credits over two years for qualifying AI-first startups.

Do not compare only headline credit amounts

The headline number is not the decision.

Ask:

  • Which provider do we already use?
  • Which provider fits the product roadmap?
  • What credits have we already received?
  • Is there a provider-specific AI or data workload?
  • Do we have funding, customers, or usage growth?
  • What happens after credits expire?

A smaller credit package on the right provider can be more valuable than a bigger theoretical package on a provider you will not actually use.

Where a partner changes the comparison

The direct program pages are not the whole commercial picture. A partner review should compare the routes that are actually available.

The useful questions are:

  • Which provider has the strongest technical case?
  • Is there a partner-led route for this account?
  • Are credits realistic, or are discounts, funded work, payment terms, or migration support more realistic?
  • Is the opportunity valuable enough for the provider side to support?
  • Which path avoids a weak application?

The initial review should not cost the startup money. If there is a real provider opportunity, the partner may be paid through provider-side economics such as resale margin, incentives, or funded work.

This is why "we used AWS, now we want Google credits" is not enough. Someone needs to show why Google Cloud should want the account.

Provider-switch cases

Moving from AWS to Google Cloud, or Google Cloud to AWS, can be credible when there is a real reason:

  • AI infrastructure.
  • Data platform.
  • Customer requirement.
  • Cost or architecture issue.
  • Migration project.
  • Product roadmap shift.

It is weak when the only reason is "we used one credit program and want another."

Decision table

Startup situation Better first check
Already on AWS, no Google Cloud reason AWS Activate or AWS post-Activate path
AI-first startup considering Vertex AI/Gemini Google Cloud AI startup path
Provider-backed by AWS Activate Provider AWS Activate Portfolio
Firebase/BigQuery/Google Cloud-native build Google Cloud startup path
Used AWS credits and now planning real Google Cloud migration Google Cloud plus migration funding review
Used credits everywhere and wants free credits only Weak for both

What if neither credit path is clean?

Then check:

  • Startup cloud discounts.
  • Net 30/60/90 payment terms.
  • Funded cloud professional services.
  • Cloud project funding.
  • Migration funding.
  • Cost optimization.

Credits are not the only commercial benefit.

Sources

Check your path

The quiz takes about 60 seconds and helps route credits, discounts, terms, project funding, or funded help.

    Step 1 of 714% complete

    Have you received cloud credits before?
    Neta Arbel, founder of CloudCredits

    About the author

    Neta Arbel

    Founder, CloudCredits

    Neta Arbel builds outbound and partner-led growth systems for cloud companies and startup infrastructure offers. He started working with startups at 17 and now focuses on helping funded startups understand which cloud credits, payment terms, discounts, project funding, or funded technical help may be available before they book a partner call.

    About Neta LinkedIn

    Common questions

    Should startups choose AWS or Google Cloud by credit size?

    No. Choose by workload fit, existing architecture, customer requirements, migration cost, and the credibility of future usage.

    Is Google Cloud better for AI startups?

    Sometimes. AI and data workloads can be strong Google Cloud signals, but only when the actual workload and roadmap support it.

    Can AWS Activate users check Google Cloud too?

    Potentially, if there is a real Google Cloud workload, migration, AI/data project, or customer reason.

    Can a partner compare both routes?

    Yes. A partner review can compare credits, discounts, terms, project funding, and implementation support across provider paths.

    Related paths

    Google Cloud startup benefits

    Google Cloud can be a strong path when the workload fits.

     After AWS Activate

    Used AWS Activate? Google Cloud may still be worth checking if the workload fits.