Supabase vs MongoDB: SQL eller NoSQL för din App?
Supabase (PostgreSQL) and MongoDB Atlas both offer managed cloud databases. The SQL vs NoSQL choice has real implications for your app architecture.
Jämförelse: Supabase vs MongoDB
| Kriterium | Supabase | MongoDB |
|---|---|---|
| Database Type | PostgreSQL (relational, SQL) | MongoDB (NoSQL, documents) |
| Schema | Structured schema with migrations | Flexible schema (schemaless) |
| Joins & Relations | Full SQL joins, foreign keys | Embedding or application-level joins |
| Auth | Built-in complete auth system | Requires Realm Auth or third-party |
| Realtime | WebSocket subscriptions | Change streams (more complex setup) |
| No-Code Integration | Native WeWeb connector | REST Data API (manual config) |
| Row-Level Security | PostgreSQL RLS (database-enforced) | App-level rules |
| Free Tier | 500MB, 2 projects | 512MB shared (M0 cluster) |
Vårt omdöme
For most startup apps — especially those with relational data, user accounts, and complex queries — Supabase wins. PostgreSQL's SQL querying, Supabase's built-in auth, and native no-code connectors make it the most complete solution.
MongoDB Atlas makes sense when: your data is genuinely document-shaped (no predictable schema), you're storing large nested JSON objects, or you need MongoDB's specific aggregation pipeline features.
For no-code apps, Supabase is the clear choice. For pure API/backend projects with genuinely document-shaped data, MongoDB is worth evaluating.
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