Supabase vs MongoDB Atlas: PostgreSQL vs NoSQL for Startups in 2026 (NL)
Supabase (PostgreSQL) and MongoDB Atlas both offer managed cloud databases. The SQL vs NoSQL choice has real implications for your app architecture.
Vergelijking: Supabase vs MongoDB
| Criterium | 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) |
Ons oordeel
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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