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Head-to-head · Databases And Backend

Amazon Aurora vs Firestore

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Amazon Aurora #1 in Databases And Backend 9.3/10 Paid ✓ 0 of 4 features Visit Amazon Aurora
Firestore #7 in Databases And Backend 8.7/10 Free plan Free plan✓ 0 of 4 features Visit Firestore

Amazon Aurora leads on 0 checks, Firestore on 1, 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 Aurora · 9.3/10
  • Free planonly Firestore

Amazon Aurora scores higher on our rubric for databases and backend: 9.3 against 8.7 out of 10; our editors rank them #1 and #7.

Firestore offers free plan; Amazon Aurora doesn't.

Amazon Aurora is the better fit for teams running managed SQL workloads on AWS. Firestore is the better fit for apps needing synced, offline-capable document data.

  • Amazon Aurora fits best

    Teams running managed SQL workloads on AWS

  • Firestore fits best

    Apps needing synced, offline-capable document data

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Side by side

Feature Amazon Aurora 9.3/10 Visit ↗ Firestore 8.7/10 Visit ↗
At a glance
Editor score 9.3 8.7
Ranking #1 in Databases And Backend #7 in Databases And Backend
Best for Teams running managed SQL workloads on AWS Apps needing synced, offline-capable document data
Pricing model Paid Free plan + paid
Starting price — —
Free plan — ✓ (best)
Free trial — —
Deployment Cloud Cloud
Platforms Web Web, iOS, Android
Support Email, Live chat, Phone, Tickets, Community, Docs · 24/7 Community, Docs
Integrations 9 integrations 3 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon Aurora 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
  • Choose PostgreSQL-, MySQL-, or DSQL-compatible engines.
  • Multi-AZ storage, replicas, and automatic failover support availability.
  • Provisioned and serverless configurations with cross-region replication.
  • 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
  • Usage-based pricing varies with engine, configuration, Region, and usage.
  • Optional features are billed separately.
  • The free plan is limited to new AWS customers and specified resources.
  • 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 Aurora is a managed relational database service for teams running transactional, SaaS, enterprise, or globally distributed workloads. It supports PostgreSQL-, MySQL-, and DSQL-compatible engines, with provisioned and serverless…

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 AuroraDatabases And Backend 9.3Paid
  2. FirestoreDatabases And Backend 8.7Free plan

Strengths and trade-offs

  • Amazon Aurora — where it wins

    • Choose PostgreSQL-, MySQL-, or DSQL-compatible engines.
    • Multi-AZ storage, replicas, and automatic failover support availability.
    • Provisioned and serverless configurations with cross-region replication.

    Where it doesn't

    • Usage-based pricing varies with engine, configuration, Region, and usage.
    • Optional features are billed separately.
    • The free plan is limited to new AWS customers and specified resources.

  • 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