Databases · head to head
Amazon Aurora vs Firestore

Amazon Aurora
Databases
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -

Firestore
Databases
Flexible, scalable NoSQL cloud database from Firebase
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Firestore the no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Firestore covers Document Model.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Amazon Aurora and Firestore actually diverge.
| Attribute | Amazon Aurora | Firestore |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | AWS Cloud | Web, Ios, Android, Flutter |
| Founded | 2006 | 2011 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Amazon Aurora
- MySQL/PostgreSQL Compatible
- 5x MySQL Performance
- Auto-scaling Storage
- Global Database
- Serverless v2
- Multi-master
- Fault Tolerant
- AWS Lambda
Only in Firestore
- Document Model
- Real-time Updates
- Offline Support
- ACID Transactions
- Expressive Queries
- Multi-region
- Security Rules
- Firebase Auth
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Firestore
- Data storagenot Firestore
- Application backendnot Firestore
- Reportingnot Firestore
- Data analyticsnot Firestore
Firestore
- Storing structured application data with realtime listenersnot Amazon Aurora
- Backing mobile and web apps with a serverless document databasenot Amazon Aurora
- Building offline first apps that sync when connectivity returnsnot Amazon Aurora
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amazon Aurora
- Aurora requires AWS ecosystem knowledge and integration with other AWS services
- Pricing can become expensive with high-traffic applications using many read replicas
- Limited support for non-relational data types compared to NoSQL alternatives
Firestore
- The no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
- The Spark plan caps storage at 1 GiB and network egress at 10 GiB per month
- Charging is per document read, so a query returning many documents bills for every one of them
- Going beyond the free thresholds requires the pay as you go Blaze plan billed at Google Cloud rates with no fixed monthly ceiling
Pricing, plan by plan
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/month
- Dedicated instances
- Predictable performance
- Reserved capacity
Firestore
Free- SparkFree
- 1GB storage
- 50K reads/day
- 20K writes/day
- BlazeFree
- Pay as you go
- Unlimited operations
- Multi-region
Which should you pick?
Choose Amazon Aurora if
- You need mysql/postgresql compatible.
- You want to start without paying.
- You work on AWS Cloud.
- You also want 5x mysql performance.
Choose Firestore if
- You need document model.
- You want to start without paying.
- You work on Web, Ios, Android, Flutter.
- You also want real-time updates.
Questions people ask
- Is Amazon Aurora or Firestore better?
- Neither clearly leads. Amazon Aurora starts at Free and Firestore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Firestore?
- Amazon Aurora starts at Free and Firestore at Free.
- Does Amazon Aurora or Firestore run on more platforms?
- Amazon Aurora runs on AWS Cloud. Firestore runs on Web, Ios, Android, Flutter.
- Can I use Amazon Aurora for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amazon Aurora best used for?
- Amazon Aurora is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Firestore is typically brought in for.
- What can Amazon Aurora do that Firestore cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Firestore covers Document Model, Real-time Updates, Offline Support, ACID Transactions. Both handle Web support.
Answered from the vendors’ own pages
Amazon Aurora: Is Amazon Aurora compatible with MySQL and PostgreSQL?
Yes, Amazon Aurora offers MySQL and PostgreSQL compatibility with full compatibility to their open-source counterparts, allowing you to migrate existing databases with standard tools.
SourceFirestore: What are the free limits on Cloud Firestore?
The Spark Plan includes 1 GiB of stored data, 50,000 reads per day, 20,000 writes per day, and 20,000 deletes per day at no cost.
SourceAmazon Aurora: What uptime SLA does Amazon Aurora provide?
Aurora is designed for up to 99.99% single-region uptime and 99.999% multi-region uptime with automatic failover.
SourceFirestore: What happens when I exceed the Spark Plan free tier?
Exceeding the free tier requires upgrading to the Blaze Plan, which bills based on actual usage through Google Cloud pricing. Charges apply for reads, writes, deletes, and data storage.
SourceAmazon Aurora: How much does Amazon Aurora cost?
Aurora uses serverless, usage-based pricing where you pay only for consumed capacity. Typical pricing ranges from $50-70 per month for minimal setups to $400-600 per month for small production clusters.
SourceFirestore: Can I use Firestore without a credit card?
Yes, you can use the Spark Plan indefinitely without a credit card. To use the Blaze Plan (pay-as-you-go), a credit card is required.
SourceAmazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
SourceFirestore: Is there a trial period for Cloud Firestore?
No trial period is specified. The Spark Plan free tier serves as the trial, with no time limit.
SourceAmazon Aurora: How many read replicas does Aurora support?
Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.
SourceRelated pages
More on Amazon Aurora
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