Supabase vs. AWS: how to choose your SaaS backend
A practical guide to choosing between Supabase and AWS when building a B2B SaaS — no dogma, just the real criteria we use with clients.
When a client asks us "should we use Supabase or AWS?", the answer is almost never the one they expect. It's not a question of which tool is "better" — it's a question of what stage the business is at and what problem you're solving today, not the one you think you'll have in two years.
The case for Supabase
Supabase wins when speed to your first paying customer matters more than granular infrastructure control. Managed Postgres, ready-made authentication, Row Level Security as an authorization layer, and a dashboard where you can inspect data without writing a single query — all of that turns weeks of plumbing work into a weekend.
We default to it for:
- MVPs and product validation, where every week spent on infrastructure is a week without real user feedback.
- Small-to-mid-size multi-tenant SaaS, where row-level RLS solves data isolation between customers without you building that logic by hand.
- One or two-person teams, where there's no bandwidth to operate Kubernetes, queues, and IAM policies in parallel with building the product.
The case for AWS
AWS wins when you already know your workload and need fine-grained control over cost at scale, specific compliance requirements (HIPAA, SOC 2 with particular industry requirements), or architectures that don't fit Supabase's model — heavy batch processing, complex event queues, or multi-region setups with strict latency requirements.
It's also the right call when the engineering team already has AWS operating experience — the learning cost isn't free, and there's no reason to pay it twice.
How we actually decide
We don't start with the technology. We start with three questions:
- How much time do you have until your first paying user? If the answer is "weeks," Supabase almost always wins.
- Is your data model standard relational, multi-tenant? If so, Supabase's RLS solves about 80% of the authorization work you'd otherwise hand-write on AWS.
- Is there a compliance or architecture requirement Supabase doesn't cover today? If so, that constraint overrides any speed preference.
The most common trap we see is choosing AWS "just in case it scales," then spending three months building infrastructure for load that never arrives — while a competitor on Supabase has already validated the product and is iterating with real customers.
Our default recommendation
For most early-stage B2B SaaS, we start on Supabase. It's the choice that optimizes for the variable that matters most early on: speed of learning with real users. Migrating from Supabase to a more custom architecture later — once you know exactly what you need to scale — is far cheaper than over-building from day one.
Have a specific case in mind? Tell us about your project and we'll help you decide using your product's real criteria, not stack dogma.