Supabase development company
Krapton’s engineers design, build and scale products on Supabase: Postgres schemas with Row Level Security, Supabase Auth, Storage and Edge Functions, migrations off Firebase, and the pooling, indexing and monitoring that keep a growing app fast.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
Supabase products built on sound Postgres foundations
Krapton is a Supabase development company for teams that want the speed of a hosted backend without giving up a real relational database. Supabase gives you PostgreSQL with an auto-generated REST API through PostgREST, a GraphQL endpoint, Auth, Storage, Realtime and Deno-based Edge Functions, so a small team can ship a full product quickly. That speed hides decisions that are expensive to reverse: how tenants are modeled, which tables the client-side API key can reach, where business logic lives (SQL functions, triggers or Edge Functions), and how the app connects through Supavisor once serverless traffic grows. Our engineers settle those questions in the schema first, write migrations with the Supabase CLI so every change is reviewed in Git, and test policies with pgTAP before features go live. Projects range from new SaaS builds and Firebase migrations to audits of apps that launched fast and now need hardening, faster queries and a clean upgrade path.
Supabase development services
Supabase MVP and SaaS builds
End-to-end products on Supabase: relational schema, Auth flows, Storage buckets, Edge Functions for webhooks and a Next.js or React Native front end, delivered with migrations and seed data in the repository.
Row level security design
Policies written per operation and per role, tenant IDs carried in JWT custom claims through an auth hook, indexes on policy columns, and pgTAP tests proving one tenant cannot read another’s rows.
Firebase to Supabase migration
Firestore documents remodeled into relational tables, Firebase Auth accounts and Cloud Storage files moved over, and security rules rewritten as RLS policies, with dual-running and a planned cutover.
Edge Functions and integrations
Deno Edge Functions for Stripe webhooks, transactional email and third-party APIs, plus database webhooks, pg_cron schedules and Supabase Queues for background work that should not block a request.
Performance and scaling work
Slow PostgREST queries traced with EXPLAIN ANALYZE and pg_stat_statements, indexes added for filters and policies, serverless connections moved to Supavisor transaction mode, and read replicas added for reporting load.
Audits and ongoing support
A review of an existing project with Supabase’s Security and Performance Advisors and manual policy checks, then fixes, Postgres version upgrades, supabase-js updates and monitoring with Sentry and the Logs Explorer.
Why teams choose Krapton for Supabase
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Schema decisions made first
Tenancy, ownership columns and foreign keys are agreed before screens are built, because on Supabase the table design also defines the public API and the security surface.
Front end and backend together
The same team builds the Next.js, React Native or Flutter client, so query shapes, realtime subscriptions and error states are designed with the schema rather than patched afterward.
Platform spend kept visible
Compute size, egress, storage and realtime connections are tracked against usage, and expensive patterns such as unpaginated selects or chatty subscriptions are fixed before they show up on the bill.
No lock-in beyond Postgres
Data stays in standard PostgreSQL, logic stays in SQL and TypeScript you own, and the project can move to self-hosted Supabase or plain Postgres if requirements change.
How a Supabase project runs with Krapton
01
Data and access review
We map entities, tenants and roles, list every query the client will make, and decide which logic belongs in policies, SQL functions or Edge Functions.
02
Local-first build
Work happens against the Supabase CLI’s local stack, with generated TypeScript types, seed data and migrations committed alongside the application code.
03
Preview branches and tests
Each pull request gets a preview branch database where pgTAP policy tests and end-to-end tests run before anything merges to the production project.
04
Launch and observe
Release includes backups and point-in-time recovery settings checked, advisor warnings cleared, alerts on connection and query health, and a runbook your team can follow.
The Supabase stack we build with
Supabase development: questions answered
What does a Supabase development company actually build for you?
It builds the database, security model and server logic behind your product, not only the screens. On Supabase that means relational schema design, Row Level Security policies, Auth configuration, Storage rules, SQL functions and Edge Functions, plus the front end that calls them. Krapton also covers migrations into Supabase, performance tuning of an existing project and ongoing upgrades, all delivered as versioned code in your repository.
When is Supabase the wrong choice for a product?
Supabase is a poor fit when the core workload is not relational or needs long-running compute. Edge Functions have execution limits, so video processing, large imports or model training belong on a separate worker. Very high-volume event ingestion may suit a stream or log store better, and teams with strict network isolation rules may need to self-host. For most SaaS products, marketplaces and internal tools, it fits well.
Can you migrate an app from Firebase or plain Postgres to Supabase?
Yes, and the two paths differ. From Postgres (Amazon RDS, Heroku or self-managed), the move is mostly pg_dump and pg_restore, then enabling RLS and moving users into Supabase Auth if you want it. From Firebase, the work is remodeling: documents become tables with foreign keys, security rules become policies, and Auth users and files are exported and imported. Both run in parallel with the old backend until data checks pass.
How do you keep a Supabase app fast as usage grows?
By finding which layer is actually slow before changing anything. Query problems are fixed with indexes and simpler policies, and connection exhaustion with Supavisor pooling. Realtime is the layer teams overlook: postgres_changes checks RLS for every subscriber on every change, so busy channels move to Broadcast. Storage-heavy apps get image transformations and CDN caching, and only then is a bigger compute size considered.
What decides the cost of a Supabase project?
Scope and data shape decide it more than the platform does. The main drivers are the number of roles and tenants the RLS model must handle, integrations such as payments or SSO, whether data is migrated from Firebase or another database, compliance needs like audit trails, and how much realtime or background processing is involved. Supabase’s own plan, compute size and egress are separate running costs to estimate alongside the build.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.