Softwr

Machine Learning & Data Science · head to head

Google Vertex AI vs Labster

Google Vertex AI logo

Google Vertex AI

Machine Learning & Data Science

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

From
On request
Rated
-
Full reviewWebsite
Labster logo

Labster

Education & E-Learning

Virtual science labs for immersive learning

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; Labster customization is limited and labs cannot be easily adapted to specific course learning outcomes
  • They diverge on capability: Google Vertex AI covers AutoML, Labster covers Virtual simulations.

Where they differ

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

Attributes where Google Vertex AI and Labster differ
AttributeGoogle Vertex AILabster
Pricing modelUnknownsubscription
PlatformsCloud, WebWeb
CategoryMachine Learning & Data ScienceEducation & E-Learning
Founded20082011

Identical on both: starting price (On request), 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 Google Vertex AI

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

Only in Labster

  • Virtual simulations
  • 3D environments
  • Theory pages
  • Quizzes
  • Lab reports
  • Progress tracking
  • Mobile access
  • Multiplayer

Both cover

  • Web support

What people use each for

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

Google Vertex AI

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

Labster

  • Virtual labsnot Google Vertex AI
  • Pre-lab preparationnot Google Vertex AI
  • Supplemental learningnot Google Vertex AI
  • Remote educationnot 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

Labster

  • Customization is limited and labs cannot be easily adapted to specific course learning outcomes
  • Simulations can lag or freeze depending on operating system and connection speed
  • Cannot fully replace hands-on physical lab experience and data collection
  • Students report preference for tactile physical lab experience over virtual simulations

Pricing, plan by plan

Google Vertex AI

On request

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

Labster

On request
  • Student Access$49/month
    • Course simulations
    • Mobile access
    • Progress tracking
  • Institution$undefined/month
    • All simulations
    • LMS integration
    • Analytics
  • Enterprise$undefined/month
    • Custom content
    • API access
    • Priority support

Which should you pick?

Choose Google Vertex AI if

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

Choose Labster if

  • You need virtual simulations.
  • You also want 3d environments.
Labster review

Questions people ask

Is Google Vertex AI or Labster better?
Neither clearly leads. Google Vertex AI starts at On request and Labster at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Vertex AI or Labster?
Google Vertex AI starts at On request and Labster at On request.
Does Google Vertex AI or Labster run on more platforms?
Google Vertex AI runs on Cloud, Web. Labster runs on Web.
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 Labster is typically brought in for.
What can Google Vertex AI do that Labster cannot?
Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Labster covers Virtual simulations, 3D environments, Theory pages, Quizzes. Both handle Web support.

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
Labster: What STEM subjects does Labster cover?

Labster provides interactive 3D simulations across biology, chemistry, physics, and other STEM subjects, designed for university, college, and high school students.

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
Labster: How many students has Labster served?

Labster has served over 6 million students and thousands of institutions globally with its virtual lab simulations.

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
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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