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Business Intelligence · head to head

Amazon QuickSight vs Google Vertex AI

Amazon QuickSight logo

Amazon QuickSight

Business Intelligence

Scalable, serverless BI by AWS

From
$3/month
Rated
-
Full reviewWebsite
Google Vertex AI logo

Google Vertex AI

Machine Learning

Unified ML platform to build, deploy, and scale AI models

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Amazon QuickSight reader and Reader Pro roles charged separately at $3 and $20/month; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: Amazon QuickSight covers SPICE In-memory Engine, Google Vertex AI covers AutoML.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Amazon QuickSight and Google Vertex AI actually diverge.

Attributes where Amazon QuickSight and Google Vertex AI differ
AttributeAmazon QuickSightGoogle Vertex AI
Starting price$3/monthOn request
Pricing modelper-userUnknown
PlatformsAWSCloud, Web
CategoryBusiness IntelligenceMachine Learning
Founded20062008

Identical on both: free tier (No), 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 QuickSight

  • SPICE In-memory Engine
  • ML Insights
  • Natural Language Queries
  • Embedded Analytics
  • Pay-per-session
  • Redshift
  • S3
  • Athena

Only in Google Vertex AI

  • AutoML
  • Custom training
  • Feature Store
  • Model monitoring
  • Prediction serving
  • BigQuery
  • Cloud Storage
  • TensorFlow

Both cover

  • Web support

What people use each for

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

Amazon QuickSight

  • Business intelligencenot Google Vertex AI
  • Dashboard creationnot Google Vertex AI
  • Data visualizationnot Google Vertex AI

Google Vertex AI

  • Machine learningnot Amazon QuickSight
  • Data analysisnot Amazon QuickSight
  • Model trainingnot Amazon QuickSight
  • Predictive analyticsnot Amazon QuickSight

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Amazon QuickSight

  • Reader and Reader Pro roles charged separately at $3 and $20/month
  • Author and Author Pro roles charged at $24 and $40/month
  • $250/month infrastructure fee required if Pro users or Q&A enabled
  • SPICE storage charged at $0.38/GB monthly (10 GB included)
  • Pixel-perfect reports start at $500/month for 500 monthly units
  • Alerts charged at $0.05-$0.50 per 1,000 metrics evaluated

Google Vertex AI

  • Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • Requires familiarity with Google Cloud Platform infrastructure and concepts
  • Cost can escalate quickly with large training and inference workloads

Pricing, plan by plan

Amazon QuickSight

$3/month
  • Reader$3/month
    • Dashboard viewing only
  • Reader Pro$20/month
    • Enhanced reader capabilities
  • Author$24/month
    • Dashboard creation and editing
  • Author Pro$40/month
    • Advanced authoring features

Google Vertex AI

On request

No published plan breakdown. See the Google Vertex AI review.

Which should you pick?

Choose Amazon QuickSight if

  • You need spice in-memory engine.
  • You work on AWS.
  • You also want ml insights.
Amazon QuickSight review

Choose Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.
Google Vertex AI review

Questions people ask

Is Amazon QuickSight or Google Vertex AI better?
Neither clearly leads. Amazon QuickSight starts at $3/month and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon QuickSight or Google Vertex AI?
Amazon QuickSight starts at $3/month and Google Vertex AI at On request.
Does Amazon QuickSight or Google Vertex AI run on more platforms?
Amazon QuickSight runs on AWS. Google Vertex AI runs on Cloud, Web.
What is Amazon QuickSight best used for?
Amazon QuickSight is most often used for business intelligence, dashboard creation, data visualization. Of those, business intelligence and dashboard creation are not what Google Vertex AI is typically brought in for.
What can Amazon QuickSight do that Google Vertex AI cannot?
Amazon QuickSight covers SPICE In-memory Engine, ML Insights, Natural Language Queries, Embedded Analytics. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Both handle Web support.

Answered from the vendors’ own pages

Amazon QuickSight: What does Amazon QuickSight cost per user?

QuickSight pricing varies by user role. Readers start at $3/month, Reader Pro at $20/month, Authors at $24/month, and Author Pro at $40/month. All prices are per user per month.

Source
Google Vertex AI: What is the pricing model for Google Vertex AI?

Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.

Source
Amazon QuickSight: Does QuickSight charge an infrastructure fee?

Yes, QuickSight charges an infrastructure fee of $250/month per account if the account has at least one Pro user, has Q&A enabled via topics, or has dashboard Q&A enabled.

Source
Google Vertex AI: What types of data can Vertex AI handle?

Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.

Source
Amazon QuickSight: What are QuickSight's session capacity pricing options?

Session capacity pricing starts at $250/month for 500 sessions. Annual plans range from $20,000/year for 50,000 sessions to $258,000/year for 1,600,000 sessions, with volume discounts reducing unit costs from $0.50 to $0.16 per additional session.

Source
Google Vertex AI: Does Vertex AI support custom model training?

Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.

Source
Amazon QuickSight: How much does additional SPICE storage cost?

Additional SPICE storage beyond the included 10 GB costs $0.38 per GB per month. Authors receive 10 GB included, but Readers do not.

Source
Google Vertex AI: What deployment options are available in Vertex AI?

Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.

Source
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