Head-to-head · Databases And Backend
Amazon Aurora vs Azure Cosmos DB for NoSQL
Amazon Aurora leads on 0 checks, Azure Cosmos DB for NoSQL 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 · 8.6/10
- Free planonly Azure Cosmos DB for NoSQL
Amazon Aurora scores higher on our rubric for databases and backend: 8.6 against 6.1 out of 10; our editors rank them #1 and #13.
Azure Cosmos DB for NoSQL offers free plan; Amazon Aurora doesn't.
Amazon Aurora is the better fit for teams running managed SQL workloads on AWS. Azure Cosmos DB for NoSQL is the better fit for apps needing globally distributed JSON databases.
- Amazon Aurora fits best
Teams running managed SQL workloads on AWS
- Azure Cosmos DB for NoSQL fits best
Apps needing globally distributed JSON databases
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Side by side
| Feature | Amazon Aurora 8.6/10 Visit ↗ | Azure Cosmos DB for NoSQL 6.1/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.6 | 6.1 |
| Ranking | #1 in Databases And Backend | #13 in Databases And Backend |
| Best for | Teams running managed SQL workloads on AWS | Apps needing globally distributed JSON databases |
| Pricing model | Paid | Free plan + paid |
| Starting price | Not published | Not published |
| 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, GDPR, HIPAA, PCI DSS |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Amazon Aurora 0/4 · Azure Cosmos DB for NoSQL 0/4 | ||
| Built-in auth | Not published | Not published |
| Realtime data sync | Not published | Not published |
| Serverless functions | Not published | Not published |
| File storage | Not published | Not published |
| Specs | ||
| Database model | Not published | Not published |
| Deployment model | Not published | Not published |
| API style | Not published | Not published |
| Our review | ||
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| Cons |
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| 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 → |
Azure Cosmos DB for NoSQL is a fully managed cloud document database for teams building applications around flexible JSON data and global distribution. It pairs schema-free storage with SQL-like querying, automatic indexing, and REST API… Read the review → |
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.
Azure Cosmos DB for NoSQL — where it wins
- Combines schema-free JSON storage with SQL-like querying and automatic indexing
- Supports transactions within a logical partition and integrated vector search
- Offers provisioned, autoscale, and serverless throughput options
Where it doesn't
- Transactions are scoped to a logical partition
- The lifetime free tier is limited to one account per Azure subscription
- Throughput and storage charges vary by region and usage
- Amazon Aurora8.6/10 · Paid
A managed SQL service with multiple engine options, replicas, failover, and AWS integrations.
Visit Amazon AuroraFull verdict → - Azure Cosmos DB for NoSQL6.1/10 · Free plan · 30-day trial
A flexible JSON database with global replication and several throughput models.
Visit MicrosoftFull verdict →
More comparisons
All databases and backend comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
Last updated · How we research and update




