Database & Data Management · head to head
Amazon Aurora vs Lambda (AWS Serverless)

Amazon Aurora
Database & Data Management
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -

Lambda (AWS Serverless)
Cloud & Infrastructure
Run code without thinking about servers
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Lambda (AWS Serverless) billed on two axes at once, $0.20 per million requests plus $0.0000166667 per GB-second of duration, so memory settings change the bill as much as traffic does
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Lambda (AWS Serverless) covers Function-as-a-Service.
Where they differ
Only the attributes on which Amazon Aurora and Lambda (AWS Serverless) actually diverge.
| Attribute | Amazon Aurora | Lambda (AWS Serverless) |
|---|---|---|
| Platforms | AWS Cloud | Web, Api |
| Category | Database & Data Management | Cloud & Infrastructure |
| Founded | 2006 | 2014 |
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated).
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 Lambda (AWS Serverless)
- Function-as-a-Service
- Event-driven execution
- Auto-scaling
- Pay-per-use
- Multiple languages
- Concurrency limits
- Dead Letter Queues
- Environment variables
Both cover
- S3
- CloudWatch
- IAM
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Lambda (AWS Serverless)
- Data storagenot Lambda (AWS Serverless)
- Application backendnot Lambda (AWS Serverless)
- Reportingnot Lambda (AWS Serverless)
- Data analyticsnot Lambda (AWS Serverless)
Lambda (AWS Serverless)
- Event-driven functions without managing serversnot Amazon Aurora
- API backends behind API Gatewaynot Amazon Aurora
- Processing S3, DynamoDB, SQS and Kinesis eventsnot Amazon Aurora
- Scheduled jobs without a always-on instancenot Amazon Aurora
- Edge compute through Lambda@Edgenot 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
Lambda (AWS Serverless)
- Billed on two axes at once, $0.20 per million requests plus $0.0000166667 per GB-second of duration, so memory settings change the bill as much as traffic does
- Provisioned concurrency, used to avoid cold starts, is charged separately at $0.0000041667 per GB-second whether or not the function runs
- Ephemeral storage beyond the included 512 MB is metered
- Lambda@Edge costs $0.60 per million requests, three times the standard request rate
- VPC use and cross-region data transfer carry EC2 charges on top
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
Lambda (AWS Serverless)
Free- Free TierFree
- 1M free requests/month
- 400,000 GB-seconds/month
- Always free
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 Lambda (AWS Serverless) if
- You need function-as-a-service.
- You want to start without paying.
- You work on Web, Api.
- You also want event-driven execution.
Questions people ask
- Is Amazon Aurora or Lambda (AWS Serverless) better?
- Neither clearly leads. Amazon Aurora starts at Free and Lambda (AWS Serverless) at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Lambda (AWS Serverless)?
- Amazon Aurora starts at Free and Lambda (AWS Serverless) at Free.
- Does Amazon Aurora or Lambda (AWS Serverless) run on more platforms?
- Amazon Aurora runs on AWS Cloud. Lambda (AWS Serverless) runs on Web, Api.
- 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 Lambda (AWS Serverless) is typically brought in for.
- What can Amazon Aurora do that Lambda (AWS Serverless) cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Lambda (AWS Serverless) covers Function-as-a-Service, Event-driven execution, Auto-scaling, Pay-per-use. Both handle S3, CloudWatch, IAM, 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.
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.
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.
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.
SourceRelated pages
More on Amazon Aurora
More on Lambda (AWS Serverless)
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