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Database & Data Management · head to head

Amazon Aurora vs Google Data Studio

Amazon Aurora logo

Amazon Aurora

Database & Data Management

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Full reviewWebsite
Google Data Studio logo

Google Data Studio

Business Intelligence

Free data visualization by Google

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; Google Data Studio google Data Studio has been renamed Looker Studio; the vendor's own landing page states it is free to use ("It's easy and free"), with no enterprise pricing tier visible on the consumer product itself.
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Google Data Studio covers Free Platform.

Where they differ

Only the attributes on which Amazon Aurora and Google Data Studio actually diverge.

Attributes where Amazon Aurora and Google Data Studio differ
AttributeAmazon AuroraGoogle Data Studio
Pricing modelusage-basedfree
PlatformsAWS CloudWeb
CategoryDatabase & Data ManagementBusiness Intelligence
Founded20061998

Identical on both: starting price (Free), 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 Google Data Studio

  • Free Platform
  • Real-time Collaboration
  • Custom Visualizations
  • Data Blending
  • Sharing
  • Google Analytics
  • BigQuery
  • Google Sheets

Both cover

  • Web support

What people use each for

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

Amazon Aurora

  • Transaction processingnot Google Data Studio
  • Data storagenot Google Data Studio
  • Application backendnot Google Data Studio
  • Reportingnot Google Data Studio
  • Data analyticsnot Google Data Studio

Google Data Studio

  • Self-service analyticsnot Amazon Aurora
  • Data explorationnot Amazon Aurora
  • Ad-hoc reportingnot Amazon Aurora
  • Collaborative analysisnot Amazon Aurora
  • Embedded analyticsnot 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

Google Data Studio

  • Google Data Studio has been renamed Looker Studio; the vendor's own landing page states it is free to use ("It's easy and free"), with no enterprise pricing tier visible on the consumer product itself.

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

Google Data Studio

Free
  • FreeFree
    • Unlimited Reports
    • Data Connectors
    • Collaboration

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 Google Data Studio if

  • You need free platform.
  • You want to start without paying.
  • You also want real-time collaboration.
Google Data Studio review

Questions people ask

Is Amazon Aurora or Google Data Studio better?
Neither clearly leads. Amazon Aurora starts at Free and Google Data Studio at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Aurora or Google Data Studio?
Amazon Aurora starts at Free and Google Data Studio at Free.
Does Amazon Aurora or Google Data Studio run on more platforms?
Amazon Aurora runs on AWS Cloud. Google Data Studio runs on Web.
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 Google Data Studio is typically brought in for.
What can Amazon Aurora do that Google Data Studio cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Google Data Studio covers Free Platform, Real-time Collaboration, Custom Visualizations, Data Blending. 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.

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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Related pages

More on Amazon Aurora

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