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Head-to-head · Databases And Backend

Amazon DynamoDB vs Google Cloud SQL

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Amazon DynamoDB #4 in Databases And Backend 9.0/10 Free plan Free plan✓ 0 of 4 features Visit AWS DynamoDB
Google Cloud SQL #6 in Databases And Backend 8.8/10 Paid ✓ 0 of 4 features Visit Google Cloud

Amazon DynamoDB leads on 1 check, Google Cloud SQL on 0, 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 DynamoDB · 9.0/10
  • Free planonly Amazon DynamoDB

Amazon DynamoDB scores higher on our rubric for databases and backend: 9.0 against 8.8 out of 10; our editors rank them #4 and #6.

Amazon DynamoDB offers free plan; Google Cloud SQL doesn't.

Amazon DynamoDB is the better fit for applications needing a scalable managed NoSQL database. Google Cloud SQL is the better fit for google Cloud teams needing managed SQL engines.

  • Amazon DynamoDB fits best

    Applications needing a scalable managed NoSQL database

  • Google Cloud SQL fits best

    Google Cloud teams needing managed SQL engines

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Side by side

Feature Amazon DynamoDB 9.0/10 Visit ↗ Google Cloud SQL 8.8/10 Visit ↗
At a glance
Editor score 9.0 8.8
Ranking #4 in Databases And Backend #6 in Databases And Backend
Best for Applications needing a scalable managed NoSQL database Google Cloud teams needing managed SQL engines
Pricing model Free plan + paid Paid
Starting price — $0.04 usage-based
Free plan ✓ (best) —
Free trial — —
Deployment Cloud Cloud
Platforms Web, Windows, macOS, Linux, iOS, Android Web
Integrations 2 integrations 6 integrations
Features Amazon DynamoDB 0/4 · Google Cloud SQL 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
  • 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.
  • Supports managed MySQL, PostgreSQL, and SQL Server instances
  • Provides backups, point-in-time recovery, and standby failover
  • Connects with Google Cloud services, the REST API, and gcloud CLI
Cons
  • 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.
  • No free plan; compute pricing starts at $0.0413 per vCPU per hour
  • Total cost varies by region, engine, edition, machine, and configuration
  • Enterprise Plus costs more per vCPU hour than Enterprise
Our verdict

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 →

Google Cloud SQL manages MySQL, PostgreSQL, and SQL Server databases in Google Cloud. It is aimed at teams that want managed relational database instances rather than taking on routine database administration themselves. The service…

Read the review →
  1. Amazon DynamoDBDatabases And Backend 9.0Free plan
  2. Google Cloud SQLDatabases And Backend 8.8Paid

Strengths and trade-offs

  • 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.

  • Google Cloud SQL — where it wins

    • Supports managed MySQL, PostgreSQL, and SQL Server instances
    • Provides backups, point-in-time recovery, and standby failover
    • Connects with Google Cloud services, the REST API, and gcloud CLI

    Where it doesn't

    • No free plan; compute pricing starts at $0.0413 per vCPU per hour
    • Total cost varies by region, engine, edition, machine, and configuration
    • Enterprise Plus costs more per vCPU hour than Enterprise

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