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Head-to-head · Databases And Backend

Amazon Aurora vs MongoDB Atlas

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Amazon Aurora #1 in Databases And Backend 9.3/10 Paid ✓ 0 of 4 features Visit Amazon Aurora
MongoDB Atlas #3 in Databases And Backend 9.1/10 Free plan Free plan✓ 0 of 4 features Visit MongoDB Atlas

Amazon Aurora leads on 0 checks, MongoDB Atlas on 1, and 0 are 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 scoreAmazon Aurora · 9.3/10
  • Free planonly MongoDB Atlas

Amazon Aurora scores higher on our rubric for databases and backend: 9.3 against 9.1 out of 10; our editors rank them #1 and #3.

MongoDB Atlas offers free plan; Amazon Aurora doesn't.

Amazon Aurora is the better fit for teams running managed SQL workloads on AWS. MongoDB Atlas is the better fit for teams building with managed MongoDB.

  • Amazon Aurora fits best

    Teams running managed SQL workloads on AWS

  • MongoDB Atlas fits best

    Teams building with managed MongoDB

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Side by side

Feature Amazon Aurora 9.3/10 Visit ↗ MongoDB Atlas 9.1/10 Visit ↗
At a glance
Editor score 9.3 9.1
Ranking #1 in Databases And Backend #3 in Databases And Backend
Best for Teams running managed SQL workloads on AWS Teams building with managed MongoDB
Pricing model Paid Free plan + paid
Starting price — $8/mo
Free plan — ✓ (best)
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Email, Live chat, Phone, Tickets, Community, Docs · 24/7 Docs
Compliance SOC 2, HIPAA, PCI DSS SOC 2, ISO 27001, SSO/SAML
Integrations 9 integrations 16 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon Aurora 0/4 · MongoDB Atlas 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
  • Choose PostgreSQL-, MySQL-, or DSQL-compatible engines.
  • Multi-AZ storage, replicas, and automatic failover support availability.
  • Provisioned and serverless configurations with cross-region replication.
  • Offers free, usage-based, and dedicated cluster options.
  • Supports transactions, full-text search, and vector search.
  • Automates backups and scaling across three cloud providers.
Cons
  • Usage-based pricing varies with engine, configuration, Region, and usage.
  • Optional features are billed separately.
  • The free plan is limited to new AWS customers and specified resources.
  • 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.
Our verdict

Amazon Aurora is a managed relational database service for teams running transactional, SaaS, enterprise, or globally distributed workloads. It supports PostgreSQL-, MySQL-, and DSQL-compatible engines, with provisioned and serverless…

Read the review →

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 →
  1. Amazon AuroraDatabases And Backend 9.3Paid
  2. MongoDB AtlasDatabases And Backend 9.1Free plan

Strengths and trade-offs

  • Amazon Aurora — where it wins

    • Choose PostgreSQL-, MySQL-, or DSQL-compatible engines.
    • Multi-AZ storage, replicas, and automatic failover support availability.
    • Provisioned and serverless configurations with cross-region replication.

    Where it doesn't

    • Usage-based pricing varies with engine, configuration, Region, and usage.
    • Optional features are billed separately.
    • The free plan is limited to new AWS customers and specified resources.

  • 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.

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