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Databases · head to head

Amazon Aurora vs Mage AI

Amazon Aurora logo

Amazon Aurora

Databases

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Mage AI logo

Mage AI

Automation Integration

Data pipeline platform with AI-generated workflows and governance

From
$100/month
Rated
-

The short version

  • Only Amazon Aurora has a free tier, so it costs nothing to try first.
  • Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Mage AI usage-based pricing lacks transparency for cost forecasting
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Mage AI covers AI-generated workflows.

Where they differ

Only the attributes on which Amazon Aurora and Mage AI actually diverge.

Attributes where Amazon Aurora and Mage AI differ
AttributeAmazon AuroraMage AI
Starting priceFree$100/month
Pricing modelusage-basedUsage-based cloud platform
Free tierYesNo
PlatformsAWS CloudCloud, Hybrid, Private Cloud, On-Premises
CategoryDatabasesAutomation Integration
Founded2006Unknown

Identical on both: 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 Mage AI

  • AI-generated workflows
  • Pipeline building
  • Data validation
  • Workflow orchestration
  • Automatic recovery
  • Reusable components
  • Governance controls

What people use each for

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

Amazon Aurora

  • Transaction processingnot Mage AI
  • Data storagenot Mage AI
  • Application backendnot Mage AI
  • Reportingnot Mage AI
  • Data analyticsnot Mage AI

Mage AI

  • Building and orchestrating data pipelines with visual interfacenot Amazon Aurora
  • Automating ETL workflows with AI assistancenot Amazon Aurora
  • Validating data quality across transformationsnot Amazon Aurora
  • Distributing transformed data to multiple destinationsnot 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

Mage AI

  • Usage-based pricing lacks transparency for cost forecasting
  • Limited standalone pricing details on website
  • Requires contact for enterprise deployment options
  • Smaller ecosystem compared to established competitors
  • May require significant customization for complex data models

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

Mage AI

$100/month
  • Cloud$100/month
    • 1 development environment
    • Unlimited users
    • Usage-based infrastructure pricing
  • Hybrid Cloud$null/custom
    • Private data processing
    • Custom infrastructure
    • Contact sales
  • Private Cloud$null/custom
    • Complete isolation
    • Full infrastructure control
    • Contact sales
  • On-Premises$null/custom
    • Full local control
    • Enterprise deployment
    • Contact sales

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 Mage AI if

  • You need ai-generated workflows.
  • You work on Cloud, Hybrid, Private Cloud, On-Premises.
  • You also want pipeline building.

Questions people ask

Is Amazon Aurora or Mage AI better?
Neither clearly leads. Amazon Aurora starts at Free and Mage AI at $100/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Aurora or Mage AI?
Amazon Aurora has a free tier; the other does not. Paid plans start at Free for Amazon Aurora and $100/month for Mage AI.
Does Amazon Aurora or Mage AI run on more platforms?
Amazon Aurora runs on AWS Cloud. Mage AI runs on Cloud, Hybrid, Private Cloud, On-Premises.
Can I use Amazon Aurora for free?
Yes. Amazon Aurora has a free tier, so you can try it without paying. Mage AI starts at $100/month.
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 Mage AI is typically brought in for.
What can Amazon Aurora do that Mage AI cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Mage AI covers AI-generated workflows, Pipeline building, Data validation, Workflow orchestration.

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
Mage AI: What is the starting price for Mage Cloud?

Cloud plan starts at $100/month for one development environment with unlimited users, plus usage-based compute charges.

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
Mage AI: How is compute usage billed on Mage?

CPU is charged at $0.50 per hour and RAM at $0.50 per 4GB per hour of utilization.

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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