Technologies / Supabase
Managed Postgres with auth, storage, realtime, and edge functions. Our default backend for teams that want to move quickly without sacrificing operability.
Supabase is often the fastest way to get a real application into production. Postgres as the source of truth, RLS as the security model, edge functions for logic, and a mature auth story out of the box. We use Supabase in production for portals, internal platforms, and operational tools where speed to value matters and the operational footprint should stay small.
Who is this for?
Teams evaluating supabase decisions with urgent manual overhead.
How fast?
Typical first output is a clear decision and implementation sequence, usually within a 1–4 week discovery window.
What will it cost?
A fixed-scope first step is available from our pricing page; discovery scope is defined up front to avoid open-ended work.
What result should I expect?
Reduced manual burden, clearer ownership, and a practical roadmap that makes the next decision easy.
Not a fit if you need a large transformation without any phased first slice.
We use Supabase where it earns its place. These are the situations we see most often.
Building sign-in, password reset, MFA, and social login for a new app is weeks of undifferentiated work. Supabase gives you it on day one.
Postgres RLS is powerful and easy to misconfigure. Most Supabase estates need an RLS audit — we do that regularly.
Every bit of untidy logic ends up in an edge function. We treat edge functions as production code, not a scratchpad.
We start with your business problem — the process, the users, the constraints — before naming any technology, including this one.
A clear architecture decision record: where this technology fits, where it doesn't, and what it integrates with.
Small, demonstrable increments on real data. Real users, real feedback, real outcomes — not a proof of concept nobody uses.
Operational metrics, documentation, and a runbook your internal team can operate. We're not a lock-in vendor.
A production Supabase project in weeks, with auth, RLS, and storage designed from the start.
RLS policies reviewed as security artefacts — tested, documented, and defensible.
Edge functions with structured logging, error handling, and CI — not one-off scripts.
A clear migration path off Supabase to self-hosted Postgres if the workload ever demands it.
Schema, indexes, and RLS designed properly — Supabase is Postgres, and Postgres rewards good design.
Supabase Auth with SSO, MFA, and social login; integrated with your identity provider where you already have one.
RLS as the security model, with tests that prove tenants can't see each other's data.
Deno-based functions for webhook handlers, server-side logic, and integrations — CI-tested and observable.
Realtime for collaborative UI; Storage for file handling with access policies driven by RLS.
When workload demands it, migration paths to self-hosted Postgres or additional infrastructure — planned, not forced.
Operational overhead and handoff gaps in a high-volume workflow.
A B2B operator needed a new internal operations app on a compressed timeline. Built on Supabase with a React front end, we shipped a live pilot in six weeks — auth, RLS-secured data, realtime notifications, and edge functions for third-party integrations — deferring heavier infrastructure until the workload actually demanded it.
Typical delivery duration: Usually visible within the first release cycle.
Operational overhead and handoff gaps in a high-volume workflow.
A SaaS operator on Supabase had grown their schema faster than their RLS policies. We audited every policy, added tenant-isolation tests, and closed a category of latent data-exposure risk before it became an incident.
Typical delivery duration: Usually visible within the first release cycle.
Vignettes are anonymised composites drawn from engagements and product work. No client names, logos, or performance figures are implied.
For the workloads we use it for, yes. It's Postgres underneath, and Supabase's enterprise tier covers most compliance and support needs. We evaluate per workload.
Supabase is Postgres. You can migrate to self-hosted Postgres or another provider with well-known effort. Auth is the piece that requires the most planning to move.
Yes — SQL where it's clearer, and typed query builders (Drizzle, Kysely) where they help. We're not afraid of SQL.
Supabase-managed backups plus periodic exports we validate. For anything regulated, we add a documented restore drill.
When the workload needs deep AWS/Azure service integration, extreme scale, or a data model Postgres doesn't fit. We say so.
Supabase is often the fastest path to a real product. If you're wondering whether it fits your workload, let's talk about the specifics.
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