AWS or Google Cloud for a Fintech or Embedded Finance Platform
A fintech or embedded finance platform should pick AWS or Google Cloud based on its PCI DSS scope, money movement uptime and what its bank or card network partner requires, not on general features. Both platforms support this work, but the criteria are narrower and less forgiving than a typical SaaS build.
Vendors Covered in this Article
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Start with what's actually in your PCI DSS scope
The single biggest infrastructure decision in fintech is whether you're storing or transmitting card data yourself or routing it through a payment processor's tokenized vault, since that decision determines how much of your own environment falls inside PCI DSS scope. Wherever possible, keep raw card data out of your own infrastructure entirely and let a processor's tokenization handle it. Both AWS and Google Cloud can host a PCI-scoped environment, but a smaller scope on either platform is usually cheaper to audit and faster to change than a larger one, regardless of which cloud carries it.
Decide how much uptime money movement actually needs
Card authorizations and money movement need to keep working even when part of your stack is degraded, which usually means multi-AZ database failover and a tested plan for what happens when a downstream bank or processor is slow rather than down. Be specific about which availability tier a given payment flow needs, since chasing an unnecessarily high tier for a back-office reporting service wastes engineering effort you should be spending on the flows that actually move money1.
Reliability discipline where a bad deploy means a bad transaction
In most software, a bad deploy means a bug report. In payments, it can mean a duplicated charge or a failed authorization a merchant notices immediately. Treat your change failure rate as a metric the whole engineering team is accountable for, not just a DevOps dashboard number, and require a tested rollback path for anything touching the payment flow before it ships2. This discipline matters more in fintech than almost anywhere else, and it's independent of which cloud you're running it on.
Data residency and bank partner requirements come before platform preference
A partner bank, card network, or state money transmitter licensing requirement will often specify where data can live and how it must be encrypted, and this constraint should narrow your cloud choice before your own preference does. Confirm which regions and encryption key management options each platform supports for your specific partner requirements before you build anything, since discovering a mismatch after launch means a costly migration under regulatory pressure.
What to check with your CPA or counsel rather than assume
Money transmitter licensing, sales tax on financial services, and specific state-by-state compliance requirements vary and change, and no cloud platform decision changes your underlying regulatory obligations. Confirm your specific licensing and compliance requirements with your attorney and accountant rather than inferring them from a cloud vendor's compliance marketing page, which describes what the platform supports, not what your particular business is required to do.
A short list before you pick your payments infrastructure
Confirm your payment processor's own infrastructure requirements first, since some processors have stronger integration tooling or lower latency on one cloud in specific regions. Map your actual PCI scope before comparing platforms. Test your failover plan for a slow downstream partner, not just a hard outage. And keep a clear paper trail of every compliance decision, since your bank partner and your auditor will both ask for it eventually, on either cloud.
Building the case for your bank partner's own risk committee
A partner bank's risk committee reviewing your program will want more than a vendor's compliance page; they want to see that you understand your own environment well enough to answer follow-up questions without escalating to your infrastructure team mid-meeting. Prepare a plain-language summary of your architecture, your PCI scope, and your incident response process before that first review, and update it every time something material changes rather than presenting a stale document.
This preparation pays off beyond the first review. Bank partners who trust that you understand your own environment tend to move faster on subsequent approvals, like adding a new product or expanding into a new state, than ones who had to pull answers out of you the first time around.
Assign one person, not a rotating cast, to own this relationship and this documentation over time. A bank partner who has to re-explain context to a new point of contact every quarter starts to wonder how well the rest of your program is actually managed.
Bring these to the risk committee review:
- A plain-language summary of your architecture that a non-engineer on the committee can follow.
- A clear map of your PCI scope, showing what card data you store or transmit and what a processor's tokenized vault handles.
- Your incident response process, written down and tested rather than described from memory.
- Enough understanding of your own environment to answer follow-up questions without escalating to your infrastructure team mid-meeting.
What Good Looks Like
A mature fintech team can state its current PCI DSS scope precisely, name the availability tier each payment flow actually needs, and produce a tested rollback plan on demand.
Building The Capability (5-Stage Skill Ladder)
How to Get Started
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AWS's breadth of managed database and compliance tooling fits a fintech that needs to move fast across multiple regulatory regions.
Google Cloud fits a fintech built around heavy transaction analytics or fraud modeling on top of BigQuery.
Azure is worth checking when a bank or enterprise partner's own infrastructure or compliance program is Microsoft-centered.
Frequently Asked Questions
Do we need to be PCI compliant if we use a payment processor's hosted checkout?
Using a processor's hosted checkout or tokenized fields significantly reduces your PCI scope compared with handling raw card data yourself, but you still have obligations around how you integrate with it. Confirm your specific scope with your processor and a qualified security assessor rather than assuming hosted checkout means zero obligations.
Does AWS or Google Cloud offer better latency to major card networks?
Both platforms have data centers with strong network paths to major card networks and processors in most regions where fintechs operate. The bigger latency factor is usually your own application architecture and how many hops a transaction takes through your own services, not the underlying cloud.
Can we run our payments infrastructure on one cloud and everything else on another?
It's technically possible but adds real complexity: separate compliance boundaries, separate monitoring, and a more complicated incident response story if something breaks across the boundary. Most fintechs are better served keeping payment-adjacent infrastructure on one platform unless a specific partner requirement forces a split.
Sources
Where we quote a benchmark, we show its source. Other figures in this guide are estimates or general guidance, so check them against your own numbers.
- Allowed downtime per year by availability target. Google SRE Book, Table 1-1 Availability table, 2016.
- Change failure rate by DORA performance cluster. DORA Accelerate State of DevOps 2024 (Google Cloud), cluster table via Octopus Deploy analysis, 2024.
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