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Head-to-head · Key-Value Databases

Amazon DynamoDB vs Google Cloud Bigtable

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Amazon DynamoDB #1 in Key-Value Databases 9.3/10 Free plan Free plan✓ 2 of 3 features Try Amazon DynamoDB
Google Cloud Bigtable #3 in Key-Value Databases 9.0/10 10-day trial Free trial✓ 3 of 3 features Visit Google Cloud

Amazon DynamoDB leads on 1 check, Google Cloud Bigtable on 1, and 3 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon DynamoDB · 9.3/10
  • Free planonly Amazon DynamoDB
  • Free trialonly Google Cloud Bigtable
  • Most featuresGoogle Cloud Bigtable · 3 of 3

Amazon DynamoDB scores higher on our rubric for key-value databases: 9.3 against 9.0 out of 10; our editors rank them #1 and #3.

Amazon DynamoDB offers free plan; Google Cloud Bigtable doesn't. Google Cloud Bigtable leads on maximum value size: 100 MB versus 0.4 MB. On persistence modes, Google Cloud Bigtable gives you Both where Amazon DynamoDB offers Disk.

Amazon DynamoDB is the better fit for managed, scalable AWS key-value workloads. Google Cloud Bigtable is the better fit for large-scale analytical and wide-column workloads.

  • Amazon DynamoDB fits best

    Managed, scalable AWS key-value workloads

  • Google Cloud Bigtable fits best

    Large-scale analytical and wide-column workloads

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Amazon DynamoDB 9.3/10 Visit ↗ Google Cloud Bigtable 9.0/10 Visit ↗
At a glance
Editor score 9.3 9.0
Ranking #1 in Key-Value Databases #3 in Key-Value Databases
Best for Managed, scalable AWS key-value workloads Large-scale analytical and wide-column workloads
Pricing model Free plan + paid Paid
Starting price — $0.65/device usage-based
Free plan ✓ (best) —
Free trial — 10 days
Deployment Cloud Cloud
Platforms Web, Windows, macOS, Linux, iOS, Android Web
Integrations 2 integrations 8 integrations
Features Amazon DynamoDB 2/3 · Google Cloud Bigtable 3/3
TTL support ✓ ✓
Clustering support Not checked yet ✓ (best)
Multi-region support ✓ ✓
Specs
Deployment model Cloud Cloud
Maximum value size 0.4 MB 100 MB (best)
Persistence modes Disk Both
Supported protocols HTTP(S), JSON, PartiQL gRPC, REST/HTTP, Apache HBase API, Apache Cassandra API, GoogleSQL
Our review
Pros
  • Supports key-value and document data models with automatic scaling
  • Offers multi-Region global tables, transactions, recovery, and backups
  • Connects with Lambda, S3, Kinesis Data Streams, Athena, and SageMaker
  • Supports key-value and wide-column data models at scale
  • Offers autoscaling, replication, backups, and SQL querying
  • Connects with BigQuery, Dataflow, Spark, Vertex AI, and LangChain
Cons
  • Usage-based billing may be less predictable than fixed paid plans
  • Cloud deployment and AWS service integration may limit portability
  • Items have a documented maximum size of 400 KB
  • No perpetual free plan
  • Node-hour pricing can be relatively high
  • Cloud deployment may not suit teams needing other models
Our verdict

Amazon DynamoDB is a serverless, fully managed NoSQL database for applications built around key-value or document data models. It is intended for operational workloads such as user profiles, shopping carts, session stores, gaming data, and…

Read the review →

Google Cloud Bigtable is a managed NoSQL database for high-throughput, low-latency applications built around key-value and wide-column data models. It is aimed at large datasets and workloads such as time-series data, operational…

Read the review →
  1. Amazon DynamoDBKey-Value Databases 9.3Free plan
  2. Google Cloud BigtableKey-Value Databases 9.010-day trial

Strengths and trade-offs

  • Amazon DynamoDB — where it wins

    • Supports key-value and document data models with automatic scaling
    • Offers multi-Region global tables, transactions, recovery, and backups
    • Connects with Lambda, S3, Kinesis Data Streams, Athena, and SageMaker

    Where it doesn't

    • Usage-based billing may be less predictable than fixed paid plans
    • Cloud deployment and AWS service integration may limit portability
    • Items have a documented maximum size of 400 KB

  • Google Cloud Bigtable — where it wins

    • Supports key-value and wide-column data models at scale
    • Offers autoscaling, replication, backups, and SQL querying
    • Connects with BigQuery, Dataflow, Spark, Vertex AI, and LangChain

    Where it doesn't

    • No perpetual free plan
    • Node-hour pricing can be relatively high
    • Cloud deployment may not suit teams needing other models

More comparisons

All Key-Value databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update