What are the key differences between SQL and NoSQL databases? When would you choose MongoDB over PostgreSQL?

Question

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?"

Interview OS Community · Accepted Answer

## 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

```javascript
// 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

```sql
-- 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

1. **Flexible question data**: Tags, sketchData (JSON), optional fields — no migrations
2. **Embedded documents**: Interview rounds inside applications
3. **Horizontal scaling**: Sharding for high write throughput
4. **JSON native**: Direct storage of JS objects, no ORM mapping friction

## PostgreSQL Strengths
1. **Complex JOINs**: Reporting across users, applications, companies
2. **Data integrity**: Foreign keys, constraints, triggers
3. **Full-text search**: Built-in tsvector
4. **Analytics**: Window functions, CTEs, materialized views

Interview OS

What are the key differences between SQL and NoSQL databases? When would you choose MongoDB over PostgreSQL?

Question Details

Suggested Solution

SQL vs NoSQL Comparison

When to Choose MongoDB

When to Choose PostgreSQL

Hybrid Approach (Common in Production)

MongoDB Strengths for Interview OS

PostgreSQL Strengths

Discussion (0)