Head-to-head · Cloud Database Services
Amazon Aurora vs Google Cloud Spanner
Amazon Aurora leads on 0 checks, Google Cloud Spanner 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 scoreAmazon Aurora · 9.4/10
- Free trialonly Google Cloud Spanner
Amazon Aurora scores higher on our rubric for cloud database services: 9.4 against 9.2 out of 10; our editors rank them #1 and #3.
Amazon Aurora is the better fit for AWS teams needing managed relational databases. Google Cloud Spanner is the better fit for global, strongly consistent SQL workloads.
- Amazon Aurora fits best
AWS teams needing managed relational databases
- Google Cloud Spanner fits best
Global, strongly consistent SQL workloads
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Side by side
| Feature | Amazon Aurora 9.4/10 Visit ↗ | Google Cloud Spanner 9.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.2 |
| Ranking | #1 in Cloud Database Services | #3 in Cloud Database Services |
| Best for | AWS teams needing managed relational databases | Global, strongly consistent SQL workloads |
| Pricing model | Paid | Paid |
| Starting price | — | — |
| Free plan | — | — |
| Free trial | — | 90 days |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Live chat, Phone, Tickets, Community, Docs · 24/7 | Community, Docs |
| Compliance | SOC 2, HIPAA, PCI DSS | SOC 2, ISO 27001, HIPAA, SSO/SAML, 2FA |
| Integrations | 9 integrations | 10 integrations |
| Built for | Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Amazon Aurora 0/2 · Google Cloud Spanner 0/2 | ||
| Autoscaling | Not checked yet | Not checked yet |
| Multi-region | Not checked yet | Not checked yet |
| Specs | ||
| Database models | Not checked yet | Not checked yet |
| Deployment model | Not checked yet | Both |
| Maximum storage | Not checked yet | Not checked yet |
| Backup retention | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | Amazon Aurora is a managed relational database service for AWS teams running PostgreSQL-, MySQL-, or DSQL-compatible workloads. Its provisioned and serverless configurations suit organizations that want managed database infrastructure for… Read the review → |
Google Cloud Spanner is a fully managed distributed relational database for mid-market and enterprise teams running applications that require strong consistency and high availability across regions. It supports GoogleSQL and a PostgreSQL… Read the review → |
Strengths and trade-offs
Amazon Aurora — where it wins
- Choose provisioned or serverless configurations for database workloads.
- Distributed storage across three Availability Zones supports fault tolerance.
- Up to 15 read replicas, automatic failover, and cross-Region replication.
Where it doesn't
- Usage-based charges vary with engine, configuration, Region, and usage.
- Optional features are billed separately from instances and storage.
- Its integrations and management fit most naturally within the AWS ecosystem.
Google Cloud Spanner — where it wins
- Strongly consistent ACID transactions across regions
- Horizontal scaling with automatic data splitting and replication
- GoogleSQL and PostgreSQL interfaces with multi-region options
Where it doesn't
- Usage-based pricing varies by edition, replicas, storage, and network use
- No free plan; a 90-day free trial is available
- Advanced capabilities and highest availability require Enterprise tiers
- Amazon Aurora9.4/10 · Paid
A flexible AWS-managed database for teams balancing deployment choice and availability.
Visit AWSFull verdict → - Google Cloud Spanner9.2/10 · 90-day trial
Global SQL workloads get strong consistency, scaling, and flexible deployment modes.
Visit Google CloudFull verdict →
More comparisons
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- Amazon Aurora vs MySQL HeatWave
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- Amazon RDS vs Google Cloud Spanner
- Google Cloud Spanner vs MongoDB Atlas
- Google Cloud Spanner vs Oracle Autonomous AI Database
- Google Cloud Spanner vs MySQL HeatWave
All cloud database services comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






