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Amazon Aurora vs AWS (Amazon Web Services)

Amazon Aurora logo

Amazon Aurora

Software

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Full reviewWebsite
AWS (Amazon Web Services) logo

AWS (Amazon Web Services)

Software

The leading cloud computing platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; AWS (Amazon Web Services) data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, AWS (Amazon Web Services) covers EC2 - Virtual Servers.

Where they differ

Only the attributes on which Amazon Aurora and AWS (Amazon Web Services) actually diverge.

Attributes where Amazon Aurora and AWS (Amazon Web Services) differ
AttributeAmazon AuroraAWS (Amazon Web Services)
PlatformsAWS CloudWeb, Api, Cli, Mobile

Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated), category (Unknown), founded (2006).

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 AWS (Amazon Web Services)

  • EC2 - Virtual Servers
  • S3 - Object Storage
  • RDS - Managed Database
  • Lambda - Serverless Computing
  • CloudFront - CDN
  • VPC - Virtual Network
  • IAM - Access Management
  • CloudWatch - Monitoring

What people use each for

The jobs each tool is most often brought in to do.

Amazon Aurora

  • Transaction processingnot AWS (Amazon Web Services)
  • Data storage
  • Application backendnot AWS (Amazon Web Services)
  • Reportingnot AWS (Amazon Web Services)
  • Data analyticsnot AWS (Amazon Web Services)

AWS (Amazon Web Services)

  • Web hostingnot Amazon Aurora
  • Data storage
  • Machine learningnot Amazon Aurora
  • Big data analyticsnot Amazon Aurora
  • Application developmentnot Amazon Aurora

Both are used for data storage, 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.

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

AWS (Amazon Web Services)

  • Data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills
  • Discounts require one or three year Savings Plan commitments rather than being automatic
  • Every service is priced separately, so a working architecture has no single published cost
  • The free tier is a promotional allowance rather than an ongoing free plan

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

AWS (Amazon Web Services)

Free
  • AWS Free TierFree
    • EC2 750 hours/month
    • 5GB S3 storage
    • 20GB data transfer
  • Pay-As-You-GoFree
    • No upfront payment
    • No long-term commitments
    • Pay only for what you use

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.
Amazon Aurora review

Choose AWS (Amazon Web Services) if

  • You need ec2 - virtual servers.
  • You want to start without paying.
  • You work on Web, Api, Cli, Mobile.
  • You also want s3 - object storage.
AWS (Amazon Web Services) review

Questions people ask

Is Amazon Aurora or AWS (Amazon Web Services) better?
Neither clearly leads. Amazon Aurora starts at Free and AWS (Amazon Web Services) at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Aurora or AWS (Amazon Web Services)?
Amazon Aurora starts at Free and AWS (Amazon Web Services) at Free.
Does Amazon Aurora or AWS (Amazon Web Services) run on more platforms?
Amazon Aurora runs on AWS Cloud. AWS (Amazon Web Services) runs on Web, Api, Cli, Mobile.
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 application backend are not what AWS (Amazon Web Services) is typically brought in for.
What can Amazon Aurora do that AWS (Amazon Web Services) cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. AWS (Amazon Web Services) covers EC2 - Virtual Servers, S3 - Object Storage, RDS - Managed Database, Lambda - Serverless Computing.

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.

Source
Amazon 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.

Source
Amazon 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.

Source
Amazon Aurora: Can Amazon Aurora scale automatically?

Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.

Source
Amazon 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
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