Key Features
In-Memory Caching (Redis)
Store key-value pairs in memory for ultra-fast access and pub/sub messaging.
Document Storage (MongoDB)
Store flexible JSON-like documents with dynamic schemas and indexing.
Relational Queries (MySQL)
Use SQL to manage structured data with ACID compliance and joins.
Advanced Analytics (PostgreSQL)
Run complex queries, CTEs, and geospatial analysis with powerful extensions.
How It Works
Choose Database
Pick Redis for caching, MongoDB for NoSQL, MySQL/PostgreSQL for relational data.
Install & Configure
Install via package manager, Docker, or cloud service and set up access.
Define Schema
Use tables (SQL) or collections (NoSQL) to structure your data.
Query & Index
Use SQL or query language to fetch, filter, and index data efficiently.
Integrate & Scale
Connect to backend apps and scale with replication, sharding, or clustering.
Code Example
// Redis (Node.js)
const redis = require('redis');
const client = redis.createClient();
client.set('key', 'value');
// MongoDB (Node.js)
const { MongoClient } = require('mongodb');
const client = new MongoClient(uri);
await client.db("mydb").collection("users").insertOne({ name: "Tanu" });
// MySQL (SQL)
SELECT * FROM users WHERE email = 'tanu@example.com';
// PostgreSQL (SQL)
SELECT name FROM users WHERE created_at > NOW() - INTERVAL '7 days';Use Cases
Session Caching
Use Redis to store user sessions and reduce database load.
Flexible Data Models
Use MongoDB for dynamic schemas in content, logs, or IoT data.
Transactional Systems
Use MySQL for banking, e-commerce, and ERP systems with ACID guarantees.
Data Warehousing
Use PostgreSQL for analytics, reporting, and geospatial queries.
Integrations & Resources
Explore Redis / MongoDB / MySQL / PostgreSQL’s ecosystem and find the tools, platforms, and docs to accelerate your workflow.
Popular Integrations
- Node.js, Python, Java, Go
- Docker, Kubernetes, Terraform
- GraphQL, REST APIs
- RedisInsight, MongoDB Atlas, phpMyAdmin, pgAdmin
- GitHub, GitLab, Bitbucket
FAQ
Common questions about Redis / MongoDB / MySQL / PostgreSQL’s capabilities, usage, and ecosystem.