Amazon DynamoDB vs Google Cloud Bigtable

A comparison of two popular cloud-based NoSQL databases

Updated July 6, 2026

Score Breakdown

Amazon DynamoDB

Pick

Performance

Cost value

Features

Maturity

Total: 33 / 40

Google Cloud Bigtable

Performance

Cost value

Features

Maturity

Total: 30 / 40

Strengths & Weaknesses

Amazon DynamoDB

Highly performant and scalable

Strong integration with AWS services

Easy to use

Limited support for large-scale analytics

Expensive for high-traffic applications

Google Cloud Bigtable

Highly performant and scalable

Strong support for large-scale analytics

Low cost

Limited support for transactional workloads

Steep learning curve

When to Choose

Amazon DynamoDB

Best when you need a highly performant and scalable NoSQL database for real-time web and mobile applications

Google Cloud Bigtable

Best when you need a highly performant and scalable NoSQL database for large-scale analytics and data processing workloads

IT Intel Verdict

Pick: Amazon DynamoDB

While Google Cloud Bigtable has strong support for large-scale analytics, Amazon DynamoDB's high performance and scalability make it a better choice for most real-time web and mobile applications. Additionally, Amazon DynamoDB's strong integration with AWS services and ease of use make it a more attractive option for many use cases.

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