Faucet vs Supabase: Lightweight API Generator or Full Backend Platform?
TL;DR: Supabase is a full Backend-as-a-Service platform built exclusively on PostgreSQL — it bundles auth, real-time subscriptions, file storage, edge functions, and a managed database. Faucet is a lightweight, single-binary tool that turns any SQL database into a REST API with built-in RBAC and MCP support. If you need a complete backend platform for a new app, Supabase is compelling. If you need to expose existing databases — especially non-PostgreSQL ones — as APIs without adopting a platform, Faucet is the faster path.
What Is Supabase?
Supabase is an open-source Firebase alternative built on PostgreSQL. It combines PostgREST for auto-generated REST APIs, GoTrue for authentication, an Elixir-based Realtime server for websocket subscriptions, S3-compatible file storage, and Deno-powered edge functions into a single managed platform. Supabase has over 81,000 GitHub stars, a generous free tier, and strong adoption among startups and full-stack developers building new applications from scratch.
Supabase’s hosted platform handles infrastructure, scaling, and backups. Self-hosting is possible but requires managing 11+ containerized services via Docker Compose.
What Is Faucet?
Faucet is an open-source, single-binary server that turns any SQL database into a secure, governed REST API with role-based access control and native MCP support for applications and AI agents.
Faucet is written in Go and supports PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, Snowflake, and SQLite — plus cloud-hosted variants like Amazon RDS, Aurora, Azure SQL, Oracle Cloud (OCI), Supabase, Neon, and PlanetScale. Where Supabase provides a complete application platform around PostgreSQL, Faucet focuses on one thing: turning existing databases into APIs.
# Connect Faucet to any SQL database — one command
faucet serve --dsn "postgres://user:pass@localhost:5432/mydb"[VISUAL: Architecture diagram comparing Supabase’s multi-service stack (PostgREST + GoTrue + Realtime + Storage + Edge Functions + Studio, all connected to PostgreSQL) on the left, versus Faucet’s single binary connecting to PostgreSQL, MySQL, SQL Server, Oracle, SQLite, Snowflake, and MariaDB on the right. Use Mermaid.]
Feature-by-Feature Comparison
These tools serve different purposes, but their capabilities overlap in database-to-API generation. The following table compares them across dimensions relevant to teams evaluating both.
| Feature | Faucet | Supabase |
|---|---|---|
| Primary purpose | Database → REST API generator | Full Backend-as-a-Service |
| Supported databases | PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite, Snowflake | PostgreSQL only |
| Language / runtime | Go (single static binary) | PostgREST (Haskell), GoTrue (Go), Realtime (Elixir), Edge Functions (Deno) |
| Deployment | Single binary — Homebrew, Docker, GitHub releases | Managed cloud or 11+ Docker containers (self-hosted) |
| Authentication | API key + JWT | Email, social login, phone, magic links, MFA (GoTrue) |
| Authorization | Built-in RBAC with table and field-level permissions | PostgreSQL Row Level Security (RLS) |
| Real-time subscriptions | — | Yes (websockets via Realtime server) |
| File storage | — | Yes (S3-compatible) |
| Edge functions | — | Yes (Deno runtime) |
| Admin UI | Embedded Preact web dashboard | Supabase Studio (web dashboard) |
| OpenAPI spec | OpenAPI 3.1 (auto-generated) | OpenAPI 2.0 (via PostgREST) |
| MCP server | Native, built-in | Not available |
| Vector search / AI | — | pgvector with hybrid search |
| Database branching | — | Yes (preview environments) |
| Memory footprint | 20–50 MB | Varies (11+ services) |
| Cold start | < 100 ms | N/A (managed) or minutes (self-hosted stack) |
| License | MIT | Apache 2.0 |
| GitHub stars | Early stage | ~81,000 |
| Pricing | Free and open source | Free tier → $25/mo Pro → $599/mo Team → Enterprise |
Different Tools for Different Problems
Supabase and Faucet solve fundamentally different problems, and understanding this distinction is more useful than a line-by-line feature comparison.
Supabase is a platform for building new applications. It provides everything a full-stack developer needs — database hosting, auth, real-time, storage, serverless functions — in a single managed service. If you are starting a new project and want a Firebase-like experience with PostgreSQL instead of Firestore, Supabase is an excellent choice.
Faucet is a tool for exposing existing databases as APIs. It does not host your database, manage your users, or store your files. It connects to a database you already have and generates a REST API from its schema. If you have a MySQL database powering a legacy application and need to give a new frontend access to that data, Faucet handles that in one command.
These are different use cases, and they rarely overlap in practice.
Database Support: Platform Lock-In vs Database Flexibility
Supabase supports PostgreSQL only. Every Supabase feature — RLS policies, real-time subscriptions, edge functions, vector search — is built on PostgreSQL-specific capabilities. If your data lives in MySQL, SQL Server, Oracle, or Snowflake, Supabase cannot help.
Faucet supports seven SQL databases from a single binary:
- PostgreSQL (including Amazon RDS, Aurora, Supabase, Neon)
- MySQL (including MariaDB, PlanetScale, Amazon RDS)
- SQL Server (including Azure SQL)
- Oracle (including OCI, Amazon RDS, Azure)
- SQLite
- Snowflake
This is not a hypothetical advantage. Most organizations run multiple database engines. A company might use PostgreSQL for its primary application, MySQL for a WordPress site, SQL Server for an ERP system, and Snowflake for analytics. Faucet covers all of them with the same binary and the same API format.
# Faucet works with any supported database — same command, same API format
faucet serve --dsn "postgres://user:pass@localhost:5432/app_db"
faucet serve --dsn "mysql://user:pass@localhost:3306/legacy_db"
faucet serve --dsn "sqlserver://user:pass@localhost:1433?database=erp"
faucet serve --dsn "sqlite:///path/to/analytics.db"Authentication and Authorization
Supabase: GoTrue + PostgreSQL RLS
Supabase provides a full authentication system via GoTrue. It supports email/password, phone, magic links, social OAuth providers (Google, GitHub, etc.), and multi-factor authentication. User sessions are managed automatically, and JWTs are issued to authenticated clients.
Authorization is handled through PostgreSQL Row Level Security (RLS). You write SQL policies that control which rows each user can see, insert, update, or delete. RLS integrates tightly with GoTrue — the authenticated user’s ID and role are available inside policies via auth.uid() and auth.role().
This model is powerful for applications where per-row, per-user access control is essential — like multi-tenant SaaS apps. But it requires you to:
- Write and maintain RLS policies in SQL for every table
- Understand PostgreSQL’s permission model (roles, grants, policies)
- Debug authorization logic at the database level
Faucet: Built-In RBAC
Faucet ships with a built-in role-based access control (RBAC) system with table-level and field-level permissions. It supports both API key and JWT authentication without requiring an external auth provider for basic use cases. Permissions are configured through the admin UI or API — no SQL expertise required.
Faucet’s auth model is simpler by design. It does not handle user registration, social login, or session management. If your application already has an auth layer (or doesn’t need one), Faucet gives you API-level access control without adopting a full auth platform.
[VISUAL: Side-by-side comparison: on the left, Supabase’s auth flow showing GoTrue handling login → JWT issued → PostgREST verifies → PostgreSQL RLS policy evaluation. On the right, Faucet’s auth flow showing API key or JWT → Faucet RBAC engine → table/field permission check → query execution across any supported database. Use Mermaid.]
Deployment and Operational Complexity
This is where the two tools diverge most sharply.
Supabase: Managed Platform or Complex Self-Hosting
On the managed platform, Supabase handles everything — you get a PostgreSQL database, API, auth, and all services with zero infrastructure management. This is Supabase’s primary value proposition.
Self-hosting Supabase is a different story. The stack consists of 11+ containerized services: PostgreSQL, PostgREST, GoTrue, Realtime, Storage, imgproxy, Kong (API gateway), postgres-meta, Studio, and more. You are responsible for:
- Orchestrating and monitoring all services
- Managing backups, scaling, and updates
- Configuring inter-service communication
- Handling TLS, DNS, and reverse proxying
Teams have reported that self-hosting Supabase is a significant operational commitment. The analytics container is frequently problematic, documentation sometimes diverges from self-hosting reality, and connecting to external PostgreSQL instances (like RDS) adds complexity.
Faucet: One Binary, One Process
Faucet is a single Go binary. Deployment means running one process:
faucet serve --dsn "postgres://user:pass@localhost:5432/mydb"There is one process to manage, one port to expose, and one binary to update. The admin UI is embedded — no separate frontend service. This is the operational simplicity of a tool that does one thing well.
Pricing
Supabase’s managed platform uses tiered pricing:
| Plan | Cost | Notes |
|---|---|---|
| Free | $0 | 2 projects, 500 MB database, 50K MAU, auto-pauses after 7 days inactivity |
| Pro | $25/month | 8 GB database, 100K MAU, usage-based overages |
| Team | $599/month | SSO, audit logs, team collaboration |
| Enterprise | Custom | Dedicated support, HIPAA, custom infrastructure |
Real-world Pro tier costs often run $35–75/month with usage fees. High-traffic applications can reach $100–200/month or more. The free tier’s auto-pause limitation (projects sleep after 7 days of inactivity) makes it unsuitable for always-on services.
Faucet is free and open source under the MIT license. There is no managed hosting tier — you run it on your own infrastructure. The total cost is whatever you pay for the server that runs the binary.
MCP Server: AI Agent Integration
Faucet includes a native MCP (Model Context Protocol) server, enabling AI agents and LLMs to interact with your database directly through a standardized protocol. AI assistants like Claude can query, explore, and understand your data without custom integration code.
Supabase does not have native MCP support. To connect an AI agent to a Supabase database, you would either query the REST API through a custom integration or connect directly to the underlying PostgreSQL instance with a separate MCP tool.
As AI-assisted development becomes standard, native MCP support eliminates an integration step that would otherwise require custom code.
Supabase’s Unique Strengths
Supabase is not just a database API tool — it is a full platform, and fair comparison demands recognizing where it excels:
- Complete BaaS ecosystem. Auth, real-time, storage, edge functions, and a managed database in one platform. For new applications, this eliminates the need to stitch together multiple services.
- Real-time subscriptions. Listen to database changes over websockets. This is a first-class feature that many applications need and Faucet does not provide.
- Authentication built in. GoTrue handles email, social, phone, magic links, and MFA. If your app needs user management, Supabase provides it out of the box.
- Vector search and AI. First-class pgvector support with hybrid search (BM25 + vector similarity). Valuable for RAG systems, semantic search, and recommendation engines.
- Database branching. Create isolated database copies for development and testing with preview deployments — useful for teams with CI/CD workflows.
- Generous free tier. 50K MAU and 500 MB of storage at no cost. Ideal for prototyping and small projects.
- Massive community. 81,000+ GitHub stars, extensive documentation, SDKs for JavaScript, Python, Flutter, Swift, and Kotlin. The ecosystem is mature and well-supported.
- Supabase Studio. A polished web dashboard for managing tables, writing SQL, viewing logs, and configuring services.
When to Choose Supabase
Supabase is the right choice when:
- You are building a new application and want a complete backend platform
- Your application runs on PostgreSQL exclusively and you have no need for other databases
- You need user authentication (email, social login, MFA) built into your backend
- You need real-time subscriptions for live updates in your UI
- You want a managed platform where infrastructure is handled for you
- You need file storage and serverless functions alongside your database API
- Your team wants to move fast with an integrated developer experience and generous free tier
When to Choose Faucet
Faucet is the right choice when:
- You need to expose existing databases as REST APIs — not build a new application from scratch
- You run multiple database types (PostgreSQL, MySQL, SQL Server, Oracle, SQLite, Snowflake) and need a single tool for all of them
- You want zero ongoing costs — open source with no usage-based pricing
- You want built-in RBAC without writing authorization logic in SQL
- You need MCP support for AI agent and LLM integration
- You want operational simplicity — a single binary with no services to orchestrate
- You want OpenAPI 3.1 spec generation (not 2.0)
- You need to connect to a Supabase-hosted PostgreSQL instance from a lightweight API tool (Faucet supports this)
Getting Started with Faucet
Faucet requires one command to install and one command to run:
# Install via Homebrew
brew install faucetdb/tap/faucet
# Or pull the Docker image
docker pull faucetdb/faucet
# Connect to your database and start serving
faucet serve --dsn "postgres://user:pass@localhost:5432/mydb"
# Your API is live — query it immediately
curl http://localhost:8080/api/v1/users?limit=10Faucet introspects your database schema, generates REST endpoints for every table, and serves an OpenAPI 3.1 spec — all in under a second.
[VISUAL: Terminal recording (animated GIF) showing: brew install faucetdb/tap/faucet → faucet serve --dsn "postgres://..." → server startup output showing tables discovered → curl request with JSON response. Demonstrate the zero-to-API experience in ~15 seconds.]
Frequently Asked Questions
Is Supabase free?
Supabase offers a free tier with 2 projects, 500 MB database storage, and 50,000 monthly active users. Production applications typically require the Pro plan at $25/month plus usage-based overages. Projects on the free tier auto-pause after 7 days of inactivity.
Can Faucet connect to a Supabase database?
Yes. Faucet supports PostgreSQL, which is the underlying database engine for every Supabase project. You can point Faucet at your Supabase PostgreSQL connection string and generate a REST API with Faucet’s RBAC and MCP capabilities on top of the same data.
Does Supabase support databases other than PostgreSQL?
No. Supabase is built exclusively on PostgreSQL. All of its features — RLS, real-time subscriptions, edge functions, vector search — depend on PostgreSQL-specific capabilities. If you need to work with MySQL, SQL Server, Oracle, SQLite, or Snowflake, Supabase is not an option.
Can I self-host Supabase?
Yes, but self-hosting requires managing 11+ containerized services via Docker Compose. This is significantly more complex than running a single binary. Teams report that self-hosted Supabase requires meaningful operational investment in monitoring, updates, and troubleshooting.
Does Supabase support AI agent integration (MCP)?
No. Supabase does not include an MCP server. Faucet includes a native MCP server that allows AI agents to interact with your database through the Model Context Protocol standard.
Which tool has better performance?
Both tools perform well. Supabase’s managed platform handles scaling automatically. Faucet achieves sub-millisecond routing with Go’s Chi router and connection pooling, with a cold start under 100 ms and a 20–50 MB memory footprint. For most workloads, database query time dominates regardless of which tool sits in front.
Can I use Faucet and Supabase together?
Yes. You can use Supabase for its auth, real-time, and storage capabilities while using Faucet to expose the same PostgreSQL database (or additional non-PostgreSQL databases) as REST APIs with MCP support. The tools are complementary when your needs span both platforms.