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The advanced open-source relational database
A flexible NoSQL document database
PostgreSQL is the superior choice for financial, enterprise, and analytical systems that need data integrity and powerful querying. MongoDB, on the other hand, shines in content-focused or IoT applications that need flexible schemas, horizontal scalability, and speed. With JSONB support, PostgreSQL now covers both relational and document-oriented needs.
| Category | PostgreSQL | MongoDB |
|---|---|---|
| Performance | 9/10 | 8/10 |
| Ease of Learning | 6/10 | 8/10 |
| Ecosystem | 9/10 | 8/10 |
| Community | 9/10 | 8/10 |
| Job Market | 9/10 | 8/10 |
| Future-Proof | 10/10 | 8/10 |
-- PostgreSQL - user and order query
CREATE TABLE users (
id SERIAL PRIMARY KEY,
email TEXT UNIQUE NOT NULL,
profile JSONB,
created_at TIMESTAMPTZ DEFAULT NOW()
);
CREATE TABLE orders (
id SERIAL PRIMARY KEY,
user_id INT REFERENCES users(id),
total NUMERIC(10,2) NOT NULL,
status TEXT CHECK (status IN ('pending','paid','shipped'))
);
-- Per-user total with window function
SELECT u.email,
SUM(o.total) AS toplam_harcama,
RANK() OVER (ORDER BY SUM(o.total) DESC) AS siralama
FROM users u
JOIN orders o ON o.user_id = u.id
GROUP BY u.email;// MongoDB - user and order operations (Node.js)
import { MongoClient } from 'mongodb';
const client = new MongoClient(process.env.MONGO_URI!);
const db = client.db('shop');
// Flexible document structure — no schema migration
await db.collection('users').insertOne({
email: '[email protected]',
profile: { bio: 'Developer', social: { github: 'ali' } },
createdAt: new Date()
});
// Order totals with aggregation pipeline
const result = await db.collection('orders').aggregate([
{ $match: { status: 'paid' } },
{ $group: { _id: '$userId', toplamHarcama: { $sum: '$total' } } },
{ $sort: { toplamHarcama: -1 } },
{ $limit: 10 }
]).toArray();PostgreSQL is the superior choice for financial, enterprise, and analytical systems that need data integrity and powerful querying. MongoDB, on the other hand, shines in content-focused or IoT applications that need flexible schemas, horizontal scalability, and speed. With JSONB support, PostgreSQL now covers both relational and document-oriented needs.
Get Free ConsultationMongoDB usually has the edge on simple document read/write operations. For complex queries and joins, PostgreSQL's query optimizer is more efficient than MongoDB's $lookup. Real-world performance depends on your data model and use case.