Software · head to head
SQLite vs Amazon Aurora
Amazon Aurora
Software
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -
The short version
- Each has a real cost: SQLite supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users; Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services
- They diverge on capability: SQLite covers Serverless Operation, Amazon Aurora covers MySQL/PostgreSQL Compatible.
Where they differ
Only the attributes on which SQLite and Amazon Aurora actually diverge.
| Attribute | SQLite | Amazon Aurora |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Linux, macOS, Windows, iOS, Android | AWS Cloud |
| Founded | 2000 | 2006 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 SQLite
- Serverless Operation
- Zero Configuration
- Single File Database
- Cross-platform
- Full SQL Support
- ACID Compliance
- Self-contained
- Browser Storage
Only in Amazon Aurora
- MySQL/PostgreSQL Compatible
- 5x MySQL Performance
- Auto-scaling Storage
- Global Database
- Serverless v2
- Multi-master
- Fault Tolerant
- AWS Lambda
What people use each for
The jobs each tool is most often brought in to do.
SQLite
- Transaction processing
- Data storage
- Application backend
- Reporting
- Data analytics
Amazon Aurora
- Transaction processing
- Data storage
- Application backend
- Reporting
- Data analytics
Both are used for transaction processing, data storage, application backend, reporting, data analytics, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
SQLite
- Supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
- No multi-user support or granular access control; relies on file system permissions for security only
- Limited ALTER TABLE functionality cannot edit or modify columns in existing tables
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
Pricing, plan by plan
SQLite
Free- Public DomainFree
- Serverless
- Zero-configuration
- Cross-platform
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/month
- Dedicated instances
- Predictable performance
- Reserved capacity
Which should you pick?
Choose SQLite if
- You need serverless operation.
- You want to start without paying.
- You work on Linux, macOS, Windows, iOS, Android.
- You also want zero configuration.
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.
Questions people ask
- Is SQLite or Amazon Aurora better?
- Neither clearly leads. SQLite starts at Free and Amazon Aurora at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, SQLite or Amazon Aurora?
- SQLite starts at Free and Amazon Aurora at Free.
- Does SQLite or Amazon Aurora run on more platforms?
- SQLite runs on Linux, macOS, Windows, iOS, Android. Amazon Aurora runs on AWS Cloud.
- Can I use SQLite for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is SQLite best used for?
- SQLite is most often used for transaction processing, data storage, application backend, reporting.
- What can SQLite do that Amazon Aurora cannot?
- SQLite covers Serverless Operation, Zero Configuration, Single File Database, Cross-platform. Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database.
Answered from the vendors’ own pages
SQLite: Is SQLite free and open source?
Yes, SQLite is open source and in the public domain. The complete source code and binaries are free to download and use for any purpose without restrictions.
SourceAmazon 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.
SourceSQLite: How does SQLite work and what is its design?
SQLite is a self-contained, serverless SQL database engine that reads and writes directly to disk files. It requires no separate server process and runs within your application, making it ideal for embedded systems and local storage.
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.
SourceSQLite: What are SQLite's limitations for scaling?
SQLite does not support true multi-user concurrency. Only one process can write to the database at a time, and it lacks user management and access control features. It is designed for small to medium projects, not enterprise applications with many concurrent users.
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.
SourceSQLite: Can I use SQLite for production web applications?
SQLite can work for single-server web applications with modest concurrency needs. However, it lacks features like user management, granular security, and sophisticated query optimization needed for large-scale applications.
SourceAmazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
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.
Source