vs

Amazon DocumentDB vs MongoDB Atlas

Amazon DocumentDB: AWS's managed MongoDB-API database on a proprietary, Aurora-style storage layer. MongoDB Atlas: MongoDB's own multi-cloud DBaaS, bundling search, vector search and stream processing.

key differences

  • Only MongoDB Atlas has triggers, materialized views, streaming ingest.
  • Amazon DocumentDB has a serverless option; MongoDB Atlas does not.

choose amazon-documentdb for

  • +Lift-and-shift of MongoDB apps already running on AWS
  • +Catalogs, profiles and content stores for AWS-native services
  • +Vector search alongside JSON documents in AWS

best at · OLTP, Content, Metadata

choose mongodb-atlas for

  • +Managed MongoDB for SaaS backends
  • +Hybrid keyword plus vector search for RAG applications
  • +Multi-cloud or cloud-exit-ready deployments
  • +Event processing with Atlas Stream Processing over Kafka

best at · OLTP, Search, Vector search

overview
Primary model
Document
Document
Also supports
Vector, Spatial
Search Engine, Vector, Time-Series, Spatial
Type
Managed service
Managed service
Status
Active
Active
Developer
Amazon Web Services
MongoDB, Inc.
First release
2019
2016
Latest version
8.0 (Nov 11, 2025)
–
License
ProprietaryProprietary AWS service
ProprietaryProprietary managed service
Free tier
—
✓
popularity
WhichDB Score
15.7
15.6
Rank
#204
#209
GitHub stars
–
–
Stack Overflow questions
462
1.5K
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
Read replicas
ACID
Full
Full
Consistency
Strong, Eventual
Tunable, Causal
Schema
Flexible
Flexible
Architecture
Shared storage, Primary replica, Serverless
Distributed, Primary replica
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, Google Cloud, Azure
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
✓
Change data capture
✓
✓
Triggers
—
✓
Stored procedures
—
—
Materialized views
—
✓
TTL / expiry
✓
✓
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
✓
✓
Streaming ingest
—
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
MongoDB Query API (MQL), Aggregation pipeline
MongoDB Query API (MQL), Aggregation pipeline, Atlas Search ($search)
Client languages
Java, Python, JavaScript, Go, C#, PHP, Ruby
C, C++, C#, Go, Java, Kotlin, JavaScript, PHP
Best for
OLTP, Content, Metadata, Vector search
OLTP, Search, Vector search, RAG

Amazon DocumentDB vs MongoDB Atlas: FAQ

What is the difference between Amazon DocumentDB and MongoDB Atlas?

Amazon DocumentDB: AWS's managed MongoDB-API database on a proprietary, Aurora-style storage layer. MongoDB Atlas: MongoDB's own multi-cloud DBaaS, bundling search, vector search and stream processing. Only MongoDB Atlas has triggers, materialized views, streaming ingest. Amazon DocumentDB has a serverless option; MongoDB Atlas does not.

When should I choose Amazon DocumentDB over MongoDB Atlas?

Choose Amazon DocumentDB for lift-and-shift of MongoDB apps already running on AWS; catalogs, profiles and content stores for AWS-native services; and vector search alongside JSON documents in AWS. Choose MongoDB Atlas for managed MongoDB for SaaS backends, hybrid keyword plus vector search for RAG applications and multi-cloud or cloud-exit-ready deployments.

Is Amazon DocumentDB or MongoDB Atlas more popular?

Amazon DocumentDB ranks #204 on the WhichDB Score (15.7/100) and MongoDB Atlas ranks #209 (15.6/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon DocumentDB and MongoDB Atlas open source?

No. Amazon DocumentDB is proprietary, closed-source software. No. MongoDB Atlas is proprietary, closed-source software.