Tools: Ultimate Guide: MongoDB Atlas Has a Free Tier — 512MB Cloud Database With Full API, Search, and Charts

Tools: Ultimate Guide: MongoDB Atlas Has a Free Tier — 512MB Cloud Database With Full API, Search, and Charts

What You Get for Free

Quick Start (3 Minutes)

1. Create a Cluster

2. Connect with Node.js

3. Connect with Python

4. Data API (No Driver Needed)

Atlas Search (Free!)

Real-World Use Case

Free Plan Limits

The Bottom Line

More Free APIs You Should Know About Setting up a database should not take longer than writing your first query. MongoDB Atlas gives you a free cloud database — 512MB storage, shared cluster, full MongoDB API. No credit card. No expiration. I have been using their free tier for prototypes and side projects for years. Here is everything you need to know. Sign up at mongodb.com/atlas, choose M0 Free Tier, pick a region. MongoDB Atlas offers a REST-like Data API — perfect for serverless or edge functions: Full-text search on the free tier. No Elasticsearch needed: A developer building a job board told me: "I started with SQLite, then needed search. Added Elasticsearch — now I have two databases to manage. Switched to Atlas free tier with Atlas Search. One database, one query language, zero infrastructure. My whole backend is 200 lines of code." 512MB is enough for 100K+ documents in most use cases. Atlas Search removes the need for a separate search engine. Charts give you dashboards without Metabase or Grafana. For prototypes, MVPs, and small production apps — there is no reason to run your own MongoDB. Need to scrape data and store it in MongoDB? Check out my web scraping tools on Apify — extract data from any website and export directly to your database. Building something custom? Email me at [email protected] Templates let you quickly answer FAQs or store snippets for re-use. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse

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$ -weight: 500;">npm -weight: 500;">install mongodb -weight: 500;">npm -weight: 500;">install mongodb -weight: 500;">npm -weight: 500;">install mongodb import { MongoClient } from "mongodb"; const client = new MongoClient("mongodb+srv://user:[email protected]/mydb"); await client.connect(); const db = client.db("mydb"); // Insert await db.collection("users").insertOne({ name: "Alex", email: "[email protected]", created: new Date() }); // Find const users = await db.collection("users").find({ name: "Alex" }).toArray(); console.log(users); // Aggregate const stats = await db.collection("orders").aggregate([ { $group: { _id: "$-weight: 500;">status", count: { $sum: 1 }, total: { $sum: "$amount" } } } ]).toArray(); import { MongoClient } from "mongodb"; const client = new MongoClient("mongodb+srv://user:[email protected]/mydb"); await client.connect(); const db = client.db("mydb"); // Insert await db.collection("users").insertOne({ name: "Alex", email: "[email protected]", created: new Date() }); // Find const users = await db.collection("users").find({ name: "Alex" }).toArray(); console.log(users); // Aggregate const stats = await db.collection("orders").aggregate([ { $group: { _id: "$-weight: 500;">status", count: { $sum: 1 }, total: { $sum: "$amount" } } } ]).toArray(); import { MongoClient } from "mongodb"; const client = new MongoClient("mongodb+srv://user:[email protected]/mydb"); await client.connect(); const db = client.db("mydb"); // Insert await db.collection("users").insertOne({ name: "Alex", email: "[email protected]", created: new Date() }); // Find const users = await db.collection("users").find({ name: "Alex" }).toArray(); console.log(users); // Aggregate const stats = await db.collection("orders").aggregate([ { $group: { _id: "$-weight: 500;">status", count: { $sum: 1 }, total: { $sum: "$amount" } } } ]).toArray(); from pymongo import MongoClient client = MongoClient("mongodb+srv://user:[email protected]/mydb") db = client["mydb"] # Insert db.users.insert_one({"name": "Alex", "email": "[email protected]"}) # Find users = list(db.users.find({"name": "Alex"})) # Full-text search (Atlas Search) results = db.articles.aggregate([ {"$search": {"text": {"query": "web scraping", "path": "title"}}}, {"$limit": 10} ]) from pymongo import MongoClient client = MongoClient("mongodb+srv://user:[email protected]/mydb") db = client["mydb"] # Insert db.users.insert_one({"name": "Alex", "email": "[email protected]"}) # Find users = list(db.users.find({"name": "Alex"})) # Full-text search (Atlas Search) results = db.articles.aggregate([ {"$search": {"text": {"query": "web scraping", "path": "title"}}}, {"$limit": 10} ]) from pymongo import MongoClient client = MongoClient("mongodb+srv://user:[email protected]/mydb") db = client["mydb"] # Insert db.users.insert_one({"name": "Alex", "email": "[email protected]"}) # Find users = list(db.users.find({"name": "Alex"})) # Full-text search (Atlas Search) results = db.articles.aggregate([ {"$search": {"text": {"query": "web scraping", "path": "title"}}}, {"$limit": 10} ]) -weight: 500;">curl -X POST "https://data.mongodb-api.com/app/YOUR_APP/endpoint/data/v1/action/findOne" \ -H "Content-Type: application/json" \ -H "api-key: YOUR_API_KEY" \ -d '{ "dataSource": "Cluster0", "database": "mydb", "collection": "users", "filter": {"email": "[email protected]"} }' -weight: 500;">curl -X POST "https://data.mongodb-api.com/app/YOUR_APP/endpoint/data/v1/action/findOne" \ -H "Content-Type: application/json" \ -H "api-key: YOUR_API_KEY" \ -d '{ "dataSource": "Cluster0", "database": "mydb", "collection": "users", "filter": {"email": "[email protected]"} }' -weight: 500;">curl -X POST "https://data.mongodb-api.com/app/YOUR_APP/endpoint/data/v1/action/findOne" \ -H "Content-Type: application/json" \ -H "api-key: YOUR_API_KEY" \ -d '{ "dataSource": "Cluster0", "database": "mydb", "collection": "users", "filter": {"email": "[email protected]"} }' // Create a search index in Atlas UI, then query: const results = await db.collection("products").aggregate([ { $search: { index: "default", text: { query: "wireless headphones", path: ["name", "description"] } } }, { $limit: 10 }, { $project: { name: 1, price: 1, score: { $meta: "searchScore" } } } ]).toArray(); // Create a search index in Atlas UI, then query: const results = await db.collection("products").aggregate([ { $search: { index: "default", text: { query: "wireless headphones", path: ["name", "description"] } } }, { $limit: 10 }, { $project: { name: 1, price: 1, score: { $meta: "searchScore" } } } ]).toArray(); // Create a search index in Atlas UI, then query: const results = await db.collection("products").aggregate([ { $search: { index: "default", text: { query: "wireless headphones", path: ["name", "description"] } } }, { $limit: 10 }, { $project: { name: 1, price: 1, score: { $meta: "searchScore" } } } ]).toArray(); - 512 MB storage on a shared M0 cluster - Full MongoDB API — CRUD, aggregation, indexes - Atlas Search — full-text search powered by Lucene - Charts — visual dashboards from your data - Realm/Device Sync — mobile offline-first sync - Data API — REST endpoints for your collections (no driver needed) - 3 regions — AWS, GCP, or Azure - Automatic backups — daily snapshots - 30+ Free APIs Every Developer Should Bookmark - Auth0 Has a Free Tier - Cloudinary Has a Free API - OpenAI Has a Free API Tier - Stripe Has a Free API - Firebase Has a Free Tier - Supabase Has a Free Tier - NASA Has a Free API - Twilio Has a Free Trial API - Slack Has a Free API - Mapbox Has a Free Tier - Algolia Has a Free API - PlanetScale Has a Free API - Resend Has a Free API - Upstash Has a Free API - Neon Has a Free API