
Supabase
OtherSupabase is an open-source Postgres platform that gives your team a real database, auth, storage, edge functions, realtime, and vector search behind one API. It is the operational backbone we use when Firebase has hit its ceiling and a custom backend would take six months to ship.
Supabase is what a serious backend looks like when you do not want to spend the first three months of a build standing up infrastructure. It is a managed Postgres database with auth, storage, edge functions, realtime, and vector search wired into one API. The team writes SQL and policies, not glue code.
What Supabase Does
Every Supabase project gives you a dedicated Postgres instance plus a stack of services that talk to it. The database is the centre of gravity. Auth writes to it, storage references it, edge functions read and write from it, and Row Level Security decides who sees what. There is no separate identity service to reconcile, no separate cache to invalidate.
- Postgres database with 40+ extensions, including pg_cron, pgvector, pg_graphql, and Foreign Data Wrappers.
- Auth with email, magic links, phone OTP, 20+ social providers, SAML SSO, and MFA, all governed by Postgres Row Level Security.
- Storage with an S3-compatible API, a global CDN across 285+ cities, image transformations, and resumable uploads.
- Edge Functions written in TypeScript on Deno, deployed globally, with Node compatibility and 2M+ npm modules.
- Realtime over WebSockets: Postgres change streams, broadcast channels, and presence.
- Auto-generated REST (PostgREST) and GraphQL (pg_graphql) APIs that follow your schema.
- Cron, Queues, Vault for secrets, branching for safe schema changes, and point-in-time recovery.
Supabase's AI Layer
Supabase treats AI workloads as first-class Postgres workloads. pgvector stores embeddings next to your transactional data, so you can join a semantic search result against a customer record in one query. Vector buckets in Storage give you a place to dump millions of embeddings without standing up a separate vector database. Edge Functions handle the model calls. The result: one database for app data, agent memory, retrieval, and audit, instead of stitching Pinecone, Redis, and a relational store together.
Automations We Build with Supabase
Supabase is rarely the whole system. It is the backbone we wrap with n8n, Retool, Stripe, and whatever the operating team already uses. The plays below are what mid-market teams hire us to ship.
- Internal operator console on Retool or a custom Next.js admin, pointed at a single Supabase Postgres with RLS roles for ops, finance, and customer success.
- Customer-facing app with auth, billing, and product surface, where Stripe webhooks land in edge functions and update entitlements in Postgres in real time.
- AI agent memory and retrieval layer on pgvector, with n8n orchestrating the agent runs and Supabase storing every prompt, response, and tool call for audit.
- Scheduled jobs that replace a Zapier bill: pg_cron triggers a daily reconciliation, Queues fan out work to edge functions, results land back in Postgres.
- Real-time dashboards for ops and revenue teams using Supabase Realtime, so a Stripe payment, a CRM update, or a support ticket shows up in the right Slack channel within seconds.
- Migration off Firebase, Airtable-as-database, or a brittle MySQL stack onto Postgres, keeping the realtime and auth ergonomics teams were used to.
- Branching plus CI: every schema change ships through a Supabase branch, gets reviewed, and merges to production without manual SQL on prod.
Why Teams Choose Supabase
- It is real Postgres. You get SQL, foreign keys, transactions, extensions, and a query plan, not a key-value store wearing a UI.
- One platform for database, auth, storage, functions, and realtime, so the team stops gluing five SaaS bills together.
- Row Level Security ships access control into the database, so a misconfigured client cannot leak data the way Firebase rules often do.
- Open source and self-hostable. If you outgrow the managed product, the exit is a Postgres dump, not a vendor migration project.
- Pricing scales with usage. Free tier covers prototypes, Pro starts at $25 per project per month, Team at $599 per month adds SOC 2 and SLAs.
Supabase integrates with Stripe, Vercel, Cloudflare, GitHub, n8n, Retool, and every Postgres tool in existence (pgAdmin, Metabase, dbt, PostHog). Pricing lands at $0 for prototypes, $25 per project on Pro, and $599 per month on Team with SOC 2 and 14-day backups. That is the build we do: a Postgres backend that runs the product, the ops stack, and the agent layer, sized so a mid-market team can operate it without a platform engineering org.
Use cases
Customer-Facing Product Backend
We build the Postgres schema, RLS policies, auth flows, and edge functions that sit behind a SaaS product. The same database powers the app, the admin tools, and the analytics layer, so you stop syncing data between three places.
Internal Tools and Operator Dashboards
Supabase becomes the source of truth for ops, finance, and customer success. We connect Retool, n8n, and custom React frontends to a single Postgres backend with role-based access. One database, one access model, many surfaces.
AI Agent State and Memory
We use pgvector to give AI agents persistent memory, retrieval, and semantic search. Conversations, embeddings, tool calls, and audit logs live in the same Postgres so you can debug agent behaviour and meter usage from one place.
Scheduled Jobs and Event-Driven Workflows
Supabase Cron, Queues, and Database Webhooks replace half a Zapier bill. We schedule recurring jobs, fan out events to edge functions, and trigger n8n workflows from Postgres changes without standing up a separate orchestrator.
Migrations Off Firebase or Legacy SQL
We move teams off Firebase, Airtable as a database, or a brittle MySQL stack to Postgres on Supabase. You keep the realtime and auth ergonomics you liked, gain SQL, RLS, foreign keys, and a query layer that scales past 10k users.
Industries we automate this for
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