Supabase vs MongoDB Atlas
Updated . Stats refresh daily.
Short answer: Choose based on your data model needs and scale requirements.
At a glance
| Attribute | Supabase | MongoDB Atlas |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Main job | Backend DB | NoSQL Database |
| GitHub stars | 110,783 | 28,599 |
| npm downloads a week | 30M | 17M |
| Latest release | v1.26.08, 1 month ago | None on GitHub |
| Founded | 2020 | 2016 |
| Data Model | PostgreSQL (SQL) | MongoDB (NoSQL/Document) |
| Built-in Auth | Yes (Supabase Auth) | No (requires integration) |
| Realtime | Yes (Postgres changes) | Change Streams |
| File Storage | Yes (Supabase Storage) | GridFS (limited) |
| Auto-scaling | Limited | Excellent (sharding) |
| Global Distribution | Read replicas | Multi-region clusters |
| Self-Hostable | Yes (fully open source) | No (use MongoDB Community) |
| GraphQL | Yes (PostgREST) | Via Realm/Atlas App Services |
| Free Tier | 500MB database, unlimited API | 512MB shared cluster |
| Pricing | $25/mo (Pro) | $57/mo+ (M10 dedicated) |
Key differences
Data Model Philosophy
Supabase is built on PostgreSQL (relational/SQL) with strict schemas and ACID guarantees. MongoDB Atlas is NoSQL (document-based) with flexible schemas and eventual consistency. Supabase is structured; MongoDB is flexible.
Platform Approach
Supabase is Firebase alternative with built-in auth, storage, and realtime features. MongoDB Atlas is pure database-as-a-service with add-on features. Supabase is full BaaS; MongoDB is focused database.
Open Source vs Proprietary
Supabase is fully open source (can self-host). MongoDB Atlas is managed service for MongoDB (core DB is open, but Atlas is proprietary). Supabase offers more control; Atlas offers more scale.
Pricing
Supabase
Free: 500MB database, unlimited API requests, 2GB file storage. Pro: $25/mo for 8GB database, 100GB bandwidth. Team: $599/mo+ for dedicated resources.
MongoDB Atlas
Free: 512MB shared cluster (M0). Serverless: Pay-per-use ($0.10/million reads). Dedicated: M10 starts at $57/mo (2GB RAM, 10GB storage). Scales to thousands/mo for large deployments.
Prices change often. Check each vendor's pricing page before you commit.
Strengths and weaknesses
Supabase
Strengths
- Full BaaS with auth, storage, realtime built-in
- Open source (self-hostable)
- PostgreSQL power (relations, joins, constraints)
- More affordable for small-medium apps
Weaknesses
- Less scalable than MongoDB for huge datasets
- Schema changes require migrations
- Limited NoSQL flexibility
- Fewer global regions than Atlas
MongoDB Atlas
Strengths
- Massive horizontal scalability (sharding)
- Flexible schemas (great for evolving data)
- Excellent global distribution
- Battle-tested at enterprise scale
Weaknesses
- No built-in auth or storage (BaaS features)
- More expensive ($57/mo minimum for dedicated)
- NoSQL trade-offs (no joins, eventual consistency)
- Can't self-host Atlas (only MongoDB Community)
Which should you choose?
Choose Supabase if
- You need a full Backend-as-a-Service (auth + database + storage).
- Your data is relational (SQL fits naturally).
- You want open source with self-hosting option.
- Budget is limited ($25/mo vs $57/mo+).
Choose MongoDB Atlas if
- You need massive horizontal scalability (sharding).
- Your data is document-based or schema-less.
- Global multi-region distribution is critical.
- You're building enterprise-scale applications.
Questions
Which is faster for large datasets?
MongoDB Atlas is generally faster for massive datasets due to sharding and horizontal scalability. Supabase (Postgres) can handle large datasets but vertical scaling has limits. For 100GB+, MongoDB wins.
Can I use both SQL and NoSQL paradigms?
Somewhat—Supabase supports JSONB for flexible data within Postgres. MongoDB has schema validation for structure. But true SQL (joins, relations) is only in Supabase; true NoSQL flexibility is only in MongoDB.
Which is better for startups/MVPs?
Supabase is better for most MVPs due to built-in features (auth, storage, realtime) and lower cost ($25 vs $57/mo). Use MongoDB if your core product needs NoSQL's flexibility.
Can I migrate from Supabase to MongoDB Atlas later?
Yes, but it's painful. You'll need to transform SQL schemas to NoSQL documents, rewrite all queries, and rebuild auth/storage integrations. Better to choose correctly upfront.
Which has better developer experience?
Supabase has simpler DX for most developers (SQL is familiar, built-in features). MongoDB requires more setup (auth, storage separately). Supabase wins for quick development; MongoDB wins for specific NoSQL use cases.