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Postman vs Supabase

Both are developer tools. Here is what separates them.

PostmanSupabase
CategoryDeveloper toolsDeveloper tools
Pricing modelfreemiumfreemium
Price fromFreemiumFreemium
Upvotes713
What it doesBuild, test and document an API without writing a client for it first.Postgres with auth, storage and realtime attached, and no lock-in.

What Postman is

Postman is a platform for building, testing, documenting and publishing APIs. Its client sends HTTP, GraphQL, gRPC, WebSocket and MQTT requests from a single interface, and requests are grouped into collections that can be shared and run as a suite. Environments hold sets of variables, so the same collection can be pointed at a different target without editing the requests themselves. Testing is done in JavaScript. Pre-request and post-response scripts run around every request, tests are written against a built-in snippet library, and the Collection Runner chains requests, runs them in a set order and logs the results. The same collections run unattended in two other places: Newman and the Postman CLI execute them inside a CI/CD pipeline, and monitors run them on a schedule, support multiple regions and can be restricted with static IP allowlisting. The Postman CLI also lints API schemas and performs security and governance checks. Mock servers return canned responses, so a client can be built before the real API exists. Postman Flows builds runnable workflows on a visual canvas, can embed AI request blocks, and comes with a gallery of more than 100 prebuilt templates. Workspaces come in personal, internal, partner, multi-partner and public forms, and Postman runs a Public API Network for shared APIs alongside a Private API Network for internal ones. Postman runs in a browser, as a desktop application for Windows, macOS on Intel and Apple Silicon, and Linux on x64 and ARM64, and as an extension for VS Code, VSCodium, Cursor and Windsurf. The browser version relies on a separate Postman Agent download to reach local and private networks, and an Interceptor extension is published for Chrome, Safari, Edge and Firefox. The Free plan is $0 and covers a single user, Solo is $9 per user per month billed annually, Team is $19 with unlimited users, and Enterprise is $49. The limits mostly govern volume rather than features: API monitoring is capped at 1,000 requests a month on Free and 10,000 on the paid plans, Postman API calls run from 10,000 a month on Free to 10 million on Enterprise, and deleted collections can be recovered for one day on Free against 90 days on Team and Enterprise.

What Supabase is

Supabase is an open source backend for web and mobile applications, built around Postgres. Every project gets a dedicated Postgres database, and the rest of the platform is a set of services attached to it rather than a layer that hides it. That decision is the reason to choose it. The database is a real Postgres instance, so SQL, extensions and the wider Postgres ecosystem all work as they normally do, and there is a SQL editor for running queries and mutations directly. REST and GraphQL APIs are generated automatically from the schema, the GraphQL side through a Postgres extension, so an API exists the moment a table does. Auth handles email and password, phone and one-time codes, magic links for passwordless sign-in, and more than twenty social login providers. Access control is enforced with Postgres row-level security policies, which means the rules about who can read which row live in the database rather than in application code that has to remember to apply them. Authentication flows can be extended with serverless functions. Storage is S3-compatible object storage behind a global CDN spanning more than 285 cities, with image transformations available on the way out. Edge Functions are TypeScript on Deno with Node.js compatibility, deployed close to users. Realtime synchronises over WebSockets and covers three distinct cases: listening to database changes, tracking presence so an application knows who is online, and broadcasting messages between clients. For applications that need semantic search or retrieval, the AI toolkit is built on pgvector, storing, indexing and querying embeddings in the same database as everything else rather than in a separate service. There are integrations with OpenAI and Hugging Face, and client libraries make it straightforward to use from JavaScript applications. All the core tools are open source and self-hostable. The hosted platform is free to start on, which makes the practical difference: a project can begin on the managed service and move onto its own infrastructure later without changing the database it was built on.

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