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Head-to-head · Databases And Backend

Amazon DynamoDB vs Firestore

  • 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
Firestore #7 in Databases And Backend 8.7/10 Free plan Free plan✓ 0 of 4 features Visit Firestore

Amazon DynamoDB leads on 0 checks, Firestore 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 DynamoDB · 9.0/10
  • Free planboth

Amazon DynamoDB scores higher on our rubric for databases and backend: 9.0 against 8.7 out of 10; our editors rank them #4 and #7.

Amazon DynamoDB is the better fit for applications needing a scalable managed NoSQL database. Firestore is the better fit for apps needing synced, offline-capable document data.

  • Amazon DynamoDB fits best

    Applications needing a scalable managed NoSQL database

  • Firestore fits best

    Apps needing synced, offline-capable document data

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Side by side

Feature Amazon DynamoDB 9.0/10 Visit ↗ Firestore 8.7/10 Visit ↗
At a glance
Editor score 9.0 8.7
Ranking #4 in Databases And Backend #7 in Databases And Backend
Best for Applications needing a scalable managed NoSQL database Apps needing synced, offline-capable document data
Pricing model Free plan + paid Free plan + paid
Starting price — —
Free plan ✓ ✓
Free trial — —
Deployment Cloud Cloud
Platforms Web, Windows, macOS, Linux, iOS, Android Web, iOS, Android
Support Docs Community, Docs
Integrations 2 integrations 3 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon DynamoDB 0/4 · Firestore 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.
  • Real-time listeners pair with offline data access and synchronization.
  • Atomic batched writes and ACID transactions support coordinated updates.
  • Vector similarity search is available alongside expressive document queries.
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.
  • Usage-based pricing can make costs vary with reads, writes, deletes, and storage.
  • Cloud-only deployment does not suit teams seeking another deployment model.
  • Support channels are limited to community resources and documentation.
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 →

Firestore is a managed, cloud-hosted NoSQL document database for mobile, web, and server applications. Its schemaless documents and collections support nested objects and subcollections, while queries can filter, sort, and limit results.…

Read the review →
  1. Amazon DynamoDBDatabases And Backend 9.0Free plan
  2. FirestoreDatabases And Backend 8.7Free plan

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.

  • Firestore — where it wins

    • Real-time listeners pair with offline data access and synchronization.
    • Atomic batched writes and ACID transactions support coordinated updates.
    • Vector similarity search is available alongside expressive document queries.

    Where it doesn't

    • Usage-based pricing can make costs vary with reads, writes, deletes, and storage.
    • Cloud-only deployment does not suit teams seeking another deployment model.
    • Support channels are limited to community resources and documentation.

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