Does MongoDB Work With AWS?
MongoDB and AWS work seamlessly together through multiple deployment options, making it straightforward to build scalable applications on AWS infrastructure.
Quick Facts
How MongoDB Works With AWS
MongoDB integrates with AWS through several proven paths. You can run MongoDB on EC2 instances with full control over configuration, use MongoDB Atlas (the official managed service) which has native AWS integration including VPC peering and cross-region replication, or leverage AWS DocumentDB as a MongoDB-compatible alternative. Most developers choose Atlas for its operational simplicity—it handles backups, scaling, and monitoring automatically while remaining AWS-native through VPC integration and IAM authentication. The developer experience is excellent: connection strings work identically whether you're connecting from Lambda, ECS, or EC2, and Atlas integrates directly with AWS CloudWatch for monitoring. You'll typically use connection pooling (especially important for Lambda) and configure security groups or network ACLs to restrict database access. Atlas also supports AWS PrivateLink for truly private connectivity without internet exposure, which is essential for production workloads handling sensitive data.
Best Use Cases
Quick Setup
npm install mongodb aws-sdk dotenvimport { MongoClient } from 'mongodb';
const uri = process.env.MONGODB_ATLAS_URI || 'mongodb+srv://user:pass@cluster.mongodb.net/dbname?retryWrites=true&w=majority';
const client = new MongoClient(uri, {
maxPoolSize: 10,
minPoolSize: 5,
});
async function connectAndQuery() {
try {
await client.connect();
const db = client.db('myapp');
const collection = db.collection('users');
const result = await collection.insertOne({ name: 'John', email: 'john@example.com' });
console.log('Inserted:', result.insertedId);
const user = await collection.findOne({ name: 'John' });
console.log('Found:', user);
} finally {
await client.close();
}
}
connectAndQuery();Known Issues & Gotchas
Lambda connection timeout issues due to connection pool exhaustion when handling concurrent invocations
Fix: Use MongoDB Node.js driver with connection pooling enabled, or consider using Atlas Serverless tier which handles connection management automatically
Network latency between Lambda (cold start) and MongoDB Atlas can cause timeout errors
Fix: Deploy MongoDB Atlas in the same AWS region as your compute, use PrivateLink to reduce latency, or implement retry logic with exponential backoff
AWS DocumentDB is MongoDB-compatible but not identical—some advanced features like transactions across shards work differently
Fix: Test your application thoroughly against DocumentDB if using it instead of MongoDB Atlas; review the compatibility guide in AWS documentation
High data transfer costs between EC2 instances and Atlas clusters outside the same VPC
Fix: Use AWS VPC peering with MongoDB Atlas or deploy MongoDB on EC2 within your VPC to eliminate data transfer charges
Alternatives
- •AWS DynamoDB with custom application logic for document modeling (serverless but less flexible schema)
- •PostgreSQL on AWS RDS with JSONB columns for semi-structured data (relational with JSON support)
- •Firestore with AWS Lambda integration (Google's managed NoSQL alternative)
Resources
Related Compatibility Guides
Explore more compatibility guides