Dev4ager builds production backends on Supabase and Firebase, authentication, realtime data, storage, row-level security, edge functions, plus migrations between the two. Supabase (Postgres) is our default for relational data and no lock-in; we'll recommend honestly for your case.
What we build
Backend-as-a-service tools deliver in a week what used to take a quarter, if the schema, security rules, and access patterns are designed by someone who's been burned before. That design is the service; the platform is just the runtime.
- Authentication: email, OAuth, magic links, SSO, roles and teams
- Postgres schema design with row-level security policies, written and tested
- Realtime features: live updates, presence, subscriptions
- File storage with access rules, image transforms, and CDN delivery
- Edge functions for server logic, webhooks, and scheduled jobs
- Firebase ↔ Supabase migrations with verified data parity
How we build it
- Model. Entities, relationships, and access rules on paper before a single table exists.
- Secure. RLS policies and auth flows written as code, with tests that prove them.
- Build + review. AI-assisted implementation, senior review on schema and policies.
- Ship + observe. Backups, monitoring, and slow-query visibility from day one.
Stack we reach for
Supabase PostgreSQL Firebase Edge Functions RLS TypeScript Next.js
A great fit if…
- You're starting a product and want a backend in days that won't need a rewrite at scale.
- Your Firebase bill or query model stopped making sense as data grew relational.
- Your Supabase project "has RLS enabled" but nobody has actually tested the policies.
Supabase & Firebase FAQs
Supabase or Firebase, which should we pick?
Supabase when your data is relational (most SaaS is) and you want SQL, row-level security, and no lock-in, our usual default. Firebase when you're deep in the Google ecosystem or lean hard on its mobile SDKs and offline sync. We recommend based on your data shape, not fashion.
Can you migrate us from Firebase to Supabase (or vice versa)?
Yes, schema mapping from documents to tables (or back), scripted data migration with verification counts, auth user migration, and a parallel-running period before cutover. Zero-drama migrations are a planning problem, and we plan them.
Is row-level security actually enough to protect data?
Done right, yes, RLS enforces access at the database layer, so even a buggy client can't read someone else's rows. We write and test the policies explicitly; "RLS enabled" without tested policies is where most Supabase security holes live.
Will a BaaS backend scale, or will we outgrow it?
Supabase is Postgres, it scales like Postgres, which is to say very far with good schema design and indexes. If you ever need to leave, it's standard SQL you can host anywhere. That exit path is exactly why we default to it.
Related
Database Architecture SaaS Development API Integrations Guide: Our AI workflow
Backend decisions due?
Describe your product's data in a paragraph. We'll sketch the backend and quote the build.
Design My Backend