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Machine Learning · head to head

Google Vertex AI vs Tigris

Google Vertex AI logo

Google Vertex AI

Machine Learning

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

From
On request
Rated
-
Tigris logo

Tigris

File Storage

Globally distributed S3-compatible object storage with zero egress fees

From
Free
Rated
-

The short version

  • Only Tigris has a free tier, so it costs nothing to try first.
  • Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; Tigris lowest tier still more expensive than some cold storage alternatives
  • They diverge on capability: Google Vertex AI covers AutoML, Tigris covers Global Distribution.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Google Vertex AI and Tigris differ
AttributeGoogle Vertex AITigris
Starting priceOn requestFree
Pricing modelUnknownUsage-based tiered storage with per-request fees
Free tierNoYes
PlatformsCloud, WebWeb, API, CLI
CategoryMachine LearningFile Storage
Founded2008Unknown

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 Google Vertex AI

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

Only in Tigris

  • Global Distribution
  • Zero Egress Fees
  • S3 Compatibility
  • Multiple Storage Classes
  • Object Notifications
  • API Access

What people use each for

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

Google Vertex AI

  • Machine learningnot Tigris
  • Data analysisnot Tigris
  • Model trainingnot Tigris
  • Predictive analyticsnot Tigris

Tigris

  • Storing and versioning AI training datasets without egress penaltiesnot Google Vertex AI
  • Distributing model checkpoints and artifacts globallynot Google Vertex AI
  • Serving static assets with low latency across regionsnot Google Vertex AI
  • Multi-cloud data portability with standardized APInot Google Vertex AI

Where each one falls short

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

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

Tigris

  • Lowest tier still more expensive than some cold storage alternatives
  • Retrieval charges on infrequent access tier add cost variability
  • Limited to object storage, no file system semantics
  • Archive retrieval requires planning ahead

Pricing, plan by plan

Google Vertex AI

On request

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

Tigris

Free
  • Standard Storage$0.02/GB/month
    • Frequently accessed data
    • No retrieval charges
    • Free data egress
  • Infrequent Access$0.01/GB/month
    • Lower storage cost
    • Retrieval: $0.01 per GB
    • 30-day minimum retention
  • Archive$0.004/GB/month
    • Lowest storage cost
    • Free retrieval
    • 90-day minimum retention
  • Archive Instant Retrieval$0.004/GB/month
    • Archive storage cost
    • Instant retrieval: $0.03 per GB
    • 90-day minimum retention

Which should you pick?

Choose Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.

Choose Tigris if

  • You need global distribution.
  • You want to start without paying.
  • You work on Web, API, CLI.
  • You also want zero egress fees.

Questions people ask

Is Google Vertex AI or Tigris better?
Neither clearly leads. Google Vertex AI starts at On request and Tigris at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Vertex AI or Tigris?
Tigris has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for Tigris.
Does Google Vertex AI or Tigris run on more platforms?
Google Vertex AI runs on Cloud, Web. Tigris runs on Web, API, CLI.
Can I use Tigris for free?
Yes. Tigris has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is Google Vertex AI best used for?
Google Vertex AI is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Tigris is typically brought in for.
What can Google Vertex AI do that Tigris cannot?
Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Tigris covers Global Distribution, Zero Egress Fees, S3 Compatibility, Multiple Storage Classes.

Answered from the vendors’ own pages

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
Tigris: Is there a free tier?

Yes, new users receive 5 GB of Standard storage monthly plus 10,000 Class A and 100,000 Class B requests at no cost.

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
Tigris: What are the request costs?

Class A requests cost $0.005 per 1,000 requests, Class B requests cost $0.0005 per 1,000 requests. DELETE and CANCEL operations are free.

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
Tigris: Do I get charged for data egress?

No, Tigris provides free data egress across all storage tiers.

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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