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Head-to-head · Databases And Backend

MongoDB Atlas vs Amazon DynamoDB

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score MongoDB Atlas #3 in Databases And Backend 9.1/10 Free plan Free plan✓ 0 of 4 features Visit MongoDB Atlas
Amazon DynamoDB #4 in Databases And Backend 9.0/10 Free plan Free plan✓ 0 of 4 features Visit AWS DynamoDB

MongoDB Atlas leads on 0 checks, Amazon DynamoDB on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreMongoDB Atlas · 9.1/10
  • Free planboth

MongoDB Atlas scores higher on our rubric for databases and backend: 9.1 against 9.0 out of 10; our editors rank them #3 and #4.

MongoDB Atlas is the better fit for teams building with managed MongoDB. Amazon DynamoDB is the better fit for applications needing a scalable managed NoSQL database.

  • MongoDB Atlas fits best

    Teams building with managed MongoDB

  • Amazon DynamoDB fits best

    Applications needing a scalable managed NoSQL database

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Side by side

Feature MongoDB Atlas 9.1/10 Visit ↗ Amazon DynamoDB 9.0/10 Visit ↗
At a glance
Editor score 9.1 9.0
Ranking #3 in Databases And Backend #4 in Databases And Backend
Best for Teams building with managed MongoDB Applications needing a scalable managed NoSQL database
Pricing model Free plan + paid Free plan + paid
Starting price $8/mo —
Free plan ✓ ✓
Free trial — —
Deployment Cloud Cloud
Platforms Web Web, Windows, macOS, Linux, iOS, Android
Support Docs Docs
Compliance SOC 2, ISO 27001, SSO/SAML SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS
Integrations 16 integrations 2 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features MongoDB Atlas 0/4 · Amazon DynamoDB 0/4
Built-in auth Not checked yet Not checked yet
Realtime data sync Not checked yet Not checked yet
Serverless functions Not checked yet Not checked yet
File storage Not checked yet Not checked yet
Specs
Database model Not checked yet Not checked yet
Deployment model Not checked yet Not checked yet
API style Not checked yet Not checked yet
Our review
Pros
  • Offers free, usage-based, and dedicated cluster options.
  • Supports transactions, full-text search, and vector search.
  • Automates backups and scaling across three cloud providers.
  • On-demand billing adds automatic scaling without capacity planning.
  • Global tables support multi-Region, multi-active deployments.
  • Transactions, streams, TTL, PartiQL and vector search cover varied workloads.
Cons
  • Free clusters have 512 MB of storage and shared compute.
  • Flex costs vary with usage and can reach $30 per month.
  • Dedicated clusters are billed hourly, so costs depend on configuration and use.
  • Cloud-only deployment excludes on-premises or self-hosted use.
  • Documented integrations are Amazon S3 and AWS Backup.
  • Paid costs vary with Region, capacity mode, table class and optional features.
Our verdict

MongoDB Atlas is a managed cloud service for MongoDB document databases, aimed at developers and engineering teams building applications with BSON or JSON-compatible data. It hosts clusters on AWS, Google Cloud, and Azure, while automating…

Read the review →

Amazon DynamoDB is a fully managed, serverless NoSQL database for applications that need predictable low-latency access at scale. It stores items in tables with primary keys and supports web, desktop, mobile and API-based applications…

Read the review →
  1. MongoDB AtlasDatabases And Backend 9.1Free plan
  2. Amazon DynamoDBDatabases And Backend 9.0Free plan

Strengths and trade-offs

  • MongoDB Atlas — where it wins

    • Offers free, usage-based, and dedicated cluster options.
    • Supports transactions, full-text search, and vector search.
    • Automates backups and scaling across three cloud providers.

    Where it doesn't

    • Free clusters have 512 MB of storage and shared compute.
    • Flex costs vary with usage and can reach $30 per month.
    • Dedicated clusters are billed hourly, so costs depend on configuration and use.

  • Amazon DynamoDB — where it wins

    • On-demand billing adds automatic scaling without capacity planning.
    • Global tables support multi-Region, multi-active deployments.
    • Transactions, streams, TTL, PartiQL and vector search cover varied workloads.

    Where it doesn't

    • Cloud-only deployment excludes on-premises or self-hosted use.
    • Documented integrations are Amazon S3 and AWS Backup.
    • Paid costs vary with Region, capacity mode, table class and optional features.

More comparisons

All databases and backend comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update