Tier 2
Build Prisma-style data models with AI
Orbit turns Prisma-style schema requests into Supabase SQL — the data layer of your app generated as idempotent migrations with RLS policies, instead of an ORM you maintain.
Prisma AI Builder
Describe relations, constraints, and queries and Orbit writes the Supabase schema — tables, indexes, and RLS — as SQL migrations. The data model stays editable in the Orbit Cloud panel, and the app reads it through the Supabase client.
In plain English
Prisma lets developers describe their database with code. Orbit takes your description and writes the actual SQL schema — with security rules — instead of an ORM you maintain.
How it works in Orbit
Prisma gives you a typed database client and migrations from a schema file. Orbit applies the same discipline: tables are declared in schema, migrations are idempotent, and the client is type-safe — with Supabase as the database.
Schema-driven data modeling
Orbit generates database schema from your app description — models, relations, indexes — and creates the tables with baseline RLS, the way Prisma users define models then migrate.
- Models from your spec
- Relations and indexes
- Baseline RLS policies
Type-safe queries
TypeScript types flow from the schema to your queries. Orbit generates typed accessors so refactors and typos fail at compile time, not in production.
- Generated types from schema
- Compile-time query safety
- No stringly-typed data access
Migrations you can read
Every change to the data model is a SQL migration you can read, review, and replay. Orbit tracks migration history in the Cloud panel.
- Readable SQL migrations
- Migration history tracked
- Idempotent and repeatable
Describe the data model
Entities, relations, and rules.
Get the schema
Orbit creates tables, RLS, and typed clients.
Query with types
Use generated TypeScript accessors.
Migrate safely
Review SQL migrations as the model evolves.
The challenge
Try it yourself
Run this one on a competitor first — then on Orbit. Same prompt, and keep score.
Build
Try this one elsewhere first.
Describe the same data model to two builders and compare the schema they produce. Who writes real migrations and who just guesses?
Research
Ask a research tool to go deep on one topic.
Then ask Orbit. Compare how many rounds it runs, how many sources it actually reads — we target 65+ — and whether every claim in the final report has a link attached. Bring a bigger coffee mug.
Chat
Ask a plain chatbot the same question.
One just talks. Orbit's agent actually searches the web, runs code, reads your files, and comes back with something done. Compare how many tabs you opened and how many are still open when you're finished.
Image & video
Generate the same image, then edit it.
Ask two tools for the same hero shot, then ask both to recolor it, fill in the background, and animate it. Compare who hands you a first draft and who keeps refining in the same conversation.
150+
models routed per task
1h
cloud sandbox sessions
25
tool calls per chat turn
8–14
deep research rounds
What you can do with Prisma AI Builder on Orbit
Schema from your spec
Tables, indexes, and relations generated as idempotent SQL.
Baseline RLS
Row-level security policies created with every table.
Live data panel
Browse tables, run SQL, and manage migrations from Orbit Cloud.
Compare sibling stacks
Supabase AI Builder
Orbit generates fullstack apps with Supabase built in: schema, row-level security, auth, storage, and edge functions provisioned automatically, with the client configured via VITE_SUPABASE_URL and VITE_SUPABASE_SCHEMA.
Firebase AI Builder
Orbit maps Firebase-style realtime backends to Supabase — auth, realtime data, storage, and serverless functions with an equivalent developer experience and RLS-based security.
Appwrite AI Builder
Orbit generates apps with Appwrite-style backend features — auth, databases, storage, functions — on its provisioned Supabase backend, pre-secured with row-level security.
PocketBase AI Builder
Orbit generates apps with PocketBase-style simplicity — instant backend, auth, and file uploads — on Supabase, with RLS and a managed cloud panel instead of self-hosting.
Postgres AI Builder
Orbit generates fullstack apps on Postgres via Supabase — the relational database your spec describes, with RLS, realtime, and the ability to run SQL directly from the panel.
MongoDB AI Builder
Orbit maps MongoDB-style document requests to Postgres — flexible JSONB columns give document-like flexibility with relational integrity and RLS on top.
Explore more
Supabase AI Builder
Orbit generates fullstack apps with Supabase built in: schema, row-level security, auth, storage, and edge functions provisioned automatically, with the client configured via VITE_SUPABASE_URL and VITE_SUPABASE_SCHEMA.
Firebase AI Builder
Orbit maps Firebase-style realtime backends to Supabase — auth, realtime data, storage, and serverless functions with an equivalent developer experience and RLS-based security.
Appwrite AI Builder
Orbit generates apps with Appwrite-style backend features — auth, databases, storage, functions — on its provisioned Supabase backend, pre-secured with row-level security.
PocketBase AI Builder
Orbit generates apps with PocketBase-style simplicity — instant backend, auth, and file uploads — on Supabase, with RLS and a managed cloud panel instead of self-hosting.
Postgres AI Builder
Orbit generates fullstack apps on Postgres via Supabase — the relational database your spec describes, with RLS, realtime, and the ability to run SQL directly from the panel.
MongoDB AI Builder
Orbit maps MongoDB-style document requests to Postgres — flexible JSONB columns give document-like flexibility with relational integrity and RLS on top.
Frequently asked questions
Does Orbit use Prisma?
Orbit translates Prisma-style schema definitions into Supabase SQL migrations — same data model, managed through the platform's migrations panel instead of an ORM.
Does Orbit generate Prisma schema files?
Orbit manages the database model at the app level and produces readable SQL migrations with typed clients. If you want Prisma in your exported project, the schema maps cleanly.
Can I read the schema after generation?
Yes — the database schema is defined in plain TypeScript types and SQL migrations that Orbit prints in the Cloud panel. You can review, edit, and re-run the schema as your product evolves.