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Head-to-head · Transaction Data Store Software

Amazon DynamoDB vs PostgreSQL

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Amazon DynamoDB #1 in Transaction Data Store Software 9.4/10 Free plan Free plan✓ 0 of 3 features Try Amazon DynamoDB
PostgreSQL #5 in Transaction Data Store Software 8.9/10 Free plan Free plan✓ 1 of 3 features Visit PostgreSQL

Amazon DynamoDB leads on 0 checks, PostgreSQL on 0, and 2 are even. Who comes out ahead on the 2 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 · 9.4/10
  • Free planboth
  • Most featuresPostgreSQL · 1 of 3

Amazon DynamoDB scores higher on our rubric for transaction data store software: 9.4 against 8.9 out of 10; our editors rank them #1 and #5.

On deployment model, PostgreSQL gives you Self_hosted where Amazon DynamoDB offers Cloud.

Amazon DynamoDB is the better fit for managed key-value workloads at global scale. PostgreSQL is the better fit for teams wanting a free, flexible relational database.

  • Amazon DynamoDB fits best

    Managed key-value workloads at global scale

  • PostgreSQL fits best

    Teams wanting a free, flexible relational database

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Side by side

Feature Amazon DynamoDB 9.4/10 Visit ↗ PostgreSQL 8.9/10 Visit ↗
At a glance
Editor score 9.4 8.9
Ranking #1 in Transaction Data Store Software #5 in Transaction Data Store Software
Best for Managed key-value workloads at global scale Teams wanting a free, flexible relational database
Pricing model Free plan + paid Free
Starting price — Free plan
Free plan ✓ ✓
Free trial — —
Deployment Cloud Self-hosted
Platforms Web, Windows, macOS, Linux, iOS, Android Windows, macOS, Linux
Support Docs Community, Docs
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Amazon DynamoDB 0/3 · PostgreSQL 1/3
ACID transactions Not checked yet Not checked yet
SQL interface Not checked yet Not checked yet
High availability Not checked yet ✓ (best)
Specs
Deployment model Cloud Self_hosted
Consistency model Not checked yet Not checked yet
Maximum storage Not checked yet Not checked yet
Backup retention Not checked yet Not checked yet
Our review
Pros
  • Supports ACID transactions across items and tables.
  • Offers on-demand or provisioned capacity, with automatic scaling options.
  • Global tables support multi-Region, multi-active workloads.
  • SQL, JSON, and JSONB support structured and JSON-oriented workloads.
  • Streaming and logical replication support standby and high-availability configurations.
  • Runs on Linux, macOS, and Windows as self-managed software.
Cons
  • Cloud deployment ties workloads to a managed service.
  • Usage-based costs vary by Region, capacity mode, table class, and optional features.
  • Documentation is the only listed support channel.
  • Self-hosting leaves deployment and ongoing operations to your team.
  • No vendor-hosted managed database service is offered.
  • Support channels are community resources and documentation.
Our verdict

Amazon DynamoDB is a managed, serverless NoSQL database for applications that need low-latency access to items stored in tables. It suits teams building key-value workloads on AWS, from smaller projects to enterprise applications, and…

Read the review →

PostgreSQL is an open-source object-relational database for storing, querying, and managing structured data. Developers, database administrators, and organizations can use it for relational SQL workloads as well as data modeled with JSON…

Read the review →
  1. Amazon DynamoDBTransaction Data Store Software 9.4Free plan
  2. PostgreSQLTransaction Data Store Software 8.9Free plan

Strengths and trade-offs

  • Amazon DynamoDB — where it wins

    • Supports ACID transactions across items and tables.
    • Offers on-demand or provisioned capacity, with automatic scaling options.
    • Global tables support multi-Region, multi-active workloads.

    Where it doesn't

    • Cloud deployment ties workloads to a managed service.
    • Usage-based costs vary by Region, capacity mode, table class, and optional features.
    • Documentation is the only listed support channel.
  • PostgreSQL — where it wins

    • SQL, JSON, and JSONB support structured and JSON-oriented workloads.
    • Streaming and logical replication support standby and high-availability configurations.
    • Runs on Linux, macOS, and Windows as self-managed software.

    Where it doesn't

    • Self-hosting leaves deployment and ongoing operations to your team.
    • No vendor-hosted managed database service is offered.
    • Support channels are community resources and documentation.

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update