PostgreSQL vs MongoDB
Relational PostgreSQL versus document MongoDB: data model fit, ACID guarantees, scaling, performance, and which database wins for modern application workloads.
Multi-purpose in-memory data structures
Simple, fast distributed caching
For new projects, Redis is almost always the better choice — its rich data structures, persistence options, and active ecosystem put it ahead of Memcached. Memcached still holds its value only in systems with existing infrastructure investment or a need for very simple, pure caching.
| Category | Redis | Memcached |
|---|---|---|
| Performance | 9/10 | 9/10 |
| Ease of Learning | 7/10 | 10/10 |
| Ecosystem | 10/10 | 5/10 |
| Community | 10/10 | 5/10 |
| Job Market | 9/10 | 4/10 |
| Future-Proof | 9/10 | 4/10 |
// Redis — caching and pub/sub (Node.js ioredis)
import Redis from 'ioredis';
const redis = new Redis(process.env.REDIS_URL);
// Caching with TTL
async function getUserCached(userId: string) {
const cached = await redis.get(\`user:\${userId}\`);
if (cached) return JSON.parse(cached);
const user = await db.users.findById(userId);
await redis.setex(\`user:\${userId}\`, 3600, JSON.stringify(user));
return user;
}
// Leaderboard with sorted set
await redis.zadd('leaderboard', 1500, 'ali');
await redis.zadd('leaderboard', 2300, 'ayse');
const top10 = await redis.zrevrange('leaderboard', 0, 9, 'WITHSCORES');
// Rate limiting
const key = \`rate:\${ip}\`;
const count = await redis.incr(key);
if (count === 1) await redis.expire(key, 60);
if (count > 100) throw new Error('Too many requests');// Memcached — simple caching (Node.js memjs)
import Memcached from 'memjs';
const client = Memcached.Client.create(
process.env.MEMCACHIER_SERVERS!,
{
username: process.env.MEMCACHIER_USERNAME,
password: process.env.MEMCACHIER_PASSWORD
}
);
// Data caching (TTL: 1 hour)
async function getPageCached(path: string) {
const { value } = await client.get(path);
if (value) return value.toString();
const html = await renderPage(path);
await client.set(path, html, { expires: 3600 });
return html;
}
// Clear the cache
await client.delete('home-page');For new projects, Redis is almost always the better choice — its rich data structures, persistence options, and active ecosystem put it ahead of Memcached. Memcached still holds its value only in systems with existing infrastructure investment or a need for very simple, pure caching.
Get Free ConsultationFor simple key-value get/set operations, the two perform similarly. Under heavy parallel connection load, Memcached's multi-threaded architecture gives it an edge. In practical applications, the difference is negligible.