vendor lock-in → exit plan
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Cloud Adoption & Repatriation migration path

From Amazon Web Services to Google Cloud

Cost comparison, a phase-by-phase migration plan, and the automation to execute it.

Effort
High
Est. timeline
~18 wks
Google Cloud model
Usage-based
Open source
No
▶ Model your savings in the calculator

3-year cost calculator

Pre-filled for Amazon Web Services → Google Cloud. Adjust every figure with your own numbers.

Every figure here is an illustrative estimate, not a vendor quote. Defaults are editable starting points compiled from public information; real, binding pricing comes from the vendor or an authorized distributor. See our methodology.

Sized at 256 workload vCPUs — cost is computed on this.
Stay on Amazon Web Services (3yr)
$506,880
Move to Google Cloud (3yr + migration)
$532,800
Projected extra cost
$25,920 (5%)
Payback period
56.3 mo
Build a decision report from these numbers:

How this is licensed: On-prem cost here is amortized hardware + power + ops per vCPU; cloud cost is usage-based. For steady-state workloads the cloud run-cost is often higher (so repatriation saves), while the cloud's value is elasticity, agility, and opex. Set $/vCPU to your real amortized or committed rates.

All figures are illustrative and fully editable — adjust the cost-per-vCPU and migration inputs with your own numbers. Not guaranteed vendor pricing (defaults reviewed May 2026). For a binding quote, use the request form below to reach an authorized distributor or partner.

Quick comparison: Amazon Web Services vs Google Cloud

Common trade-offs teams weigh when staying on Amazon Web Services versus moving to Google Cloud. These are general, commonly-reported considerations — not statements of fact about any vendor — so check them against your own contract and the vendors' current terms.

Amazon Web Services Current
AWS · Usage-based (compute + egress)
  • Already in production — no migration effort or risk
  • Mature ecosystem with vendor support and SLAs
  • Egress and data-transfer fees add up fast
  • Steady-state run cost can exceed on-prem
  • Deep lock-in to proprietary managed services
  • Ongoing usage-based (compute + egress) cost to budget for
  • Higher vendor lock-in to weigh
Google Cloud Planned
Google · Usage-based
  • Commercial option with vendor support and SLAs
  • Cost model: Usage-based
  • Requires a migration (~18 weeks, high effort)
  • Usage-based cost
  • Higher operational learning curve

Why teams evaluate alternatives to Amazon Web Services

Reasons commonly cited by users and in public industry coverage for re-evaluating Amazon Web Services. These are general, reported considerations — not statements of fact about AWS — and may not reflect your situation or the vendor's current terms. Verify against your own contract before deciding.

  • Egress and data-transfer fees add up fast
  • Steady-state run cost can exceed on-prem
  • Deep lock-in to proprietary managed services

The migration plan

Roughly 18 weeks for a mid-size estate, in six phases.

Assessment & discovery
Inventory every workload, dependency, and integration; flag anything high-risk.
Target design & sizing
Size the new platform, design storage and networking, set RPO/RTO and rollback criteria.
Pilot migration
Migrate a small low-risk set end-to-end and validate the runbook.
↳ Use Google Migrate to Virtual Machines and Database Migration Service; re-platform IaC; sync S3→GCS; cut over via Cloud DNS.
Production migration
Move workloads in scheduled waves using automation; verify after each wave.
Validation & optimization
Tune performance, confirm backup/DR, and update monitoring and docs.
Decommission source
Reclaim licenses, retire old infrastructure, and capture lessons learned.

Tooling & automation

Use Google Migrate to Virtual Machines and Database Migration Service; re-platform IaC; sync S3→GCS; cut over via Cloud DNS.

OffVendor's wizard pre-fills these scripts with your environment — inventory export, disk/schema conversion, bulk provisioning, and validation.

Frequently asked

Is migrating from Amazon Web Services to Google Cloud worth it?

For most teams facing rising Amazon Web Services costs, yes — Google Cloud (usage-based) typically lowers 3-year total cost of ownership, though the right answer depends on workload complexity and in-house skills. Use the calculator to model your own numbers.

How long does a Amazon Web Services to Google Cloud migration take?

A typical mid-size estimate is around 18 weeks across six phases — discovery, design, pilot, waved production migration, validation, and decommission. Larger or more complex estates take longer.

What tools are used to migrate from Amazon Web Services to Google Cloud?

Use Google Migrate to Virtual Machines and Database Migration Service; re-platform IaC; sync S3→GCS; cut over via Cloud DNS.

Get a vendor-accurate Google Cloud quote

A guided builder that turns your estimates into a requirements report you can send to a vendor, partner, or distributor to secure a binding quote.

How this works — and what's yours to provide
  • Your inputs, your responsibility. The figures and estimates here describe your environment and requirements — please make sure they're accurate. OffVendor's defaults are illustrative starting points only, not vendor pricing.
  • It generates a requirements report (RFQ). Use it to capture your sizing and requirements and share it with your authorized vendor / partner / distributor to obtain a final, binding quote.
  • Then close the loop on your TCO. When the real quote comes back, plug those actual prices into the calculator above to refine your TCO and see where reality differs from the estimate.
  1. 1Size it
  2. 2Requirements
  3. 3Your details
  4. 4Channels & export

How big is your Amazon Web Services estate?

Count the OS/database server VMs and their typical vCPU allocation. Licensing usually counts all vCPUs on each VM. Not sure? Enter rough numbers — the distributor confirms exact counts later.

256 workload vCPUs
Default mid-size assumption (256 workload vCPUs)
Estimates are illustrative and configurable; production figures come from vendor list prices and your own quotes.