🚀 Elasticsearch vs MongoDB — What’s the Difference? 🤔

Both are powerful NoSQL databases, but they serve very different purposes:

🔍 Elasticsearch

Built for search and analytics

Uses Lucene under the hood

Supports full-text search, autocomplete, filters, and ranking

Ideal for logs, monitoring tools, search bars, etc.

Near real-time performance, great for dashboards (e.g. Kibana)

Query language: DSL (Domain Specific Language)

📦 MongoDB

A general-purpose document database

Stores flexible BSON documents

Great for CRUD operations, apps, and services

Strong aggregation framework

Used in web apps, mobile apps, CMS, and more

Query language: Rich query syntax (find, match, aggregate, etc.)

🧠 Summary:

Use Elasticsearch when you need blazing-fast search and analytics.

Use MongoDB when you need a flexible, scalable backend for storing and retrieving structured data.