easyFull Stack EngineerSaaS
What are the key differences between SQL and NoSQL databases? When would you choose MongoDB over PostgreSQL?
Posted 18/04/2026
by Mehedy Hasan Ador
Question Details
At a startup interview, the CTO asked:
"We're building a SaaS platform with user profiles, job applications, and analytics. We need flexibility in our data model because we're iterating fast. Should we use PostgreSQL or MongoDB? What are the trade-offs?"
Suggested Solution
SQL vs NoSQL Comparison
| Aspect | SQL (PostgreSQL) | NoSQL (MongoDB) |
|---|---|---|
| Data model | Fixed schema (tables/rows) | Flexible schema (documents) |
| Relations | Foreign keys, JOINs | Embedding, $lookup |
| Scaling | Vertical (scale up) | Horizontal (scale out) |
| Transactions | ACID, mature | ACID (4.0+, multi-document) |
| Schema changes | ALTER TABLE (migration) | No migration needed |
| Query | SQL (declarative) | MongoDB Query Language |
| Best for | Relational data, complex queries | Flexible data, rapid iteration |
When to Choose MongoDB
// Flexible schema — iterate fast
const jobApplication = {
company: "Google",
position: "SWE",
customFields: { // No migration needed to add fields
referral: "John",
source: "LinkedIn",
},
interviewRounds: [ // Embed arrays directly
{ round: 1, type: "phone", feedback: "..." },
{ round: 2, type: "onsite", feedback: "..." },
],
};
When to Choose PostgreSQL
-- Complex relational queries
SELECT u.name, COUNT(a.id) as applications, AVG(a.salary) as avg_salary
FROM users u
JOIN applications a ON u.id = a.user_id
JOIN companies c ON a.company_id = c.id
WHERE c.industry = 'fintech'
GROUP BY u.id
HAVING COUNT(a.id) > 5
ORDER BY avg_salary DESC;
Hybrid Approach (Common in Production)
MongoDB → User-generated content, logs, analytics, flexible data
PostgreSQL → Financial records, user accounts, complex reporting
Redis → Caching, sessions, rate limiting
MongoDB Strengths for Interview OS
- Flexible question data: Tags, sketchData (JSON), optional fields — no migrations
- Embedded documents: Interview rounds inside applications
- Horizontal scaling: Sharding for high write throughput
- JSON native: Direct storage of JS objects, no ORM mapping friction
PostgreSQL Strengths
- Complex JOINs: Reporting across users, applications, companies
- Data integrity: Foreign keys, constraints, triggers
- Full-text search: Built-in tsvector
- Analytics: Window functions, CTEs, materialized views