Alex Spinov

Posted on Mar 27

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

#database #api #tutorial #webdev

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.

What You Get for Free

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

Quick Start (3 Minutes)

1. Create a Cluster

2. Connect with Node.js

npm install mongodb

import { MongoClient } from "mongodb";

const client = new MongoClient("mongodb+srv://user:pass@cluster.mongodb.net/mydb");

await client.connect();
const db = client.db("mydb");

// Insert
await db.collection("users").insertOne({
  name: "Alex",
  email: "alex@example.com",
  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([
  { $group: { _id: "$status", count: { $sum: 1 }, total: { $sum: "$amount" } } }
]).toArray();

3. Connect with Python

from pymongo import MongoClient

client = MongoClient("mongodb+srv://user:pass@cluster.mongodb.net/mydb")
db = client["mydb"]

# Insert
db.users.insert_one({"name": "Alex", "email": "alex@example.com"})

# 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}
])

4. Data API (No Driver Needed)

MongoDB Atlas offers a REST-like Data API — perfect for serverless or edge functions:

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": "alex@example.com"}
  }'

Atlas Search (Free!)

Full-text search on the free tier. No Elasticsearch needed:

// 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();

Real-World Use Case

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."

Free Plan Limits

Feature	Free Tier (M0)
Storage	512 MB
RAM	Shared
Connections	500
Atlas Search	Yes
Charts	Yes
Data API	Yes
Backups	Daily
Regions	3 (AWS/GCP/Azure)
Expiration	Never

The Bottom Line

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 spinov001@gmail.com

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