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Head-to-head · Databases And Backend

Amazon RDS vs Firestore

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Amazon RDS #2 in Databases And Backend 9.2/10 Paid ✓ 0 of 4 features Visit Amazon RDS
Firestore #7 in Databases And Backend 8.7/10 Free plan Free plan✓ 0 of 4 features Visit Firestore

Amazon RDS 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 RDS · 9.2/10
  • Free planonly Firestore

Amazon RDS scores higher on our rubric for databases and backend: 9.2 against 8.7 out of 10; our editors rank them #2 and #7.

Firestore offers free plan; Amazon RDS doesn't.

Amazon RDS is the better fit for teams wanting managed relational databases on AWS. Firestore is the better fit for apps needing synced, offline-capable document data.

  • Amazon RDS fits best

    Teams wanting managed relational databases on AWS

  • Firestore fits best

    Apps needing synced, offline-capable document data

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Side by side

Feature Amazon RDS 9.2/10 Visit ↗ Firestore 8.7/10 Visit ↗
At a glance
Editor score 9.2 8.7
Ranking #2 in Databases And Backend #7 in Databases And Backend
Best for Teams wanting managed relational databases on AWS Apps needing synced, offline-capable document data
Pricing model Paid Free plan + paid
Starting price Not checked yet —
Free plan — ✓ (best)
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web, iOS, Android
Support Phone, Live chat, Email, Community, Docs · 24/7 Community, Docs
Integrations 8 integrations 3 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon RDS 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
  • Automates provisioning, patching, backups, and recovery
  • Offers Multi-AZ deployments and read replicas
  • Integrates with CloudWatch, Secrets Manager, and other AWS services
  • 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 by engine, instance class, Region, and storage
  • Engine and configuration choices affect backup retention and maximum connections
  • Less suited to teams seeking a database service outside AWS
  • 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 RDS is a managed relational database service for teams that want AWS to handle operational tasks while they choose a supported database engine. Options include PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, Db2, and Aurora. It fits…

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 RDSDatabases And Backend 9.2Paid
  2. FirestoreDatabases And Backend 8.7Free plan

Strengths and trade-offs

  • Amazon RDS — where it wins

    • Automates provisioning, patching, backups, and recovery
    • Offers Multi-AZ deployments and read replicas
    • Integrates with CloudWatch, Secrets Manager, and other AWS services

    Where it doesn't

    • Usage-based pricing varies by engine, instance class, Region, and storage
    • Engine and configuration choices affect backup retention and maximum connections
    • Less suited to teams seeking a database service outside AWS
  • 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

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update