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Machine Learning & Data Science · head to head

Comet ML vs Google Vertex AI

Comet ML logo

Comet ML

Machine Learning & Data Science

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-
Full reviewWebsite
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

The short version

  • Only Comet ML has a free tier, so it costs nothing to try first.
  • Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: Comet ML covers Experiment tracking, Google Vertex AI covers AutoML.

Where they differ

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

Attributes where Comet ML and Google Vertex AI differ
AttributeComet MLGoogle Vertex AI
Starting priceFreeOn request
Pricing modelfreemiumUnknown
Free tierYesNo
PlatformsWeb, Linux, Mac, WindowsCloud, Web
Founded20172008

Identical on both: user rating (Not yet rated), category (Machine Learning & Data Science).

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 Comet ML

  • Experiment tracking
  • Code versioning
  • Model registry
  • Hyperparameter optimization
  • Production monitoring
  • Keras
  • scikit-learn
  • Hugging Face

Only in Google Vertex AI

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

Both cover

  • PyTorch
  • TensorFlow
  • Web support

What people use each for

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

Comet ML

  • Tracking machine learning experiments, metrics and model versionsnot Google Vertex AI
  • Monitoring and evaluating LLM applications with tracingnot Google Vertex AI

Google Vertex AI

  • Machine learningnot Comet ML
  • Data analysisnot Comet ML
  • Model trainingnot Comet ML
  • Predictive analyticsnot Comet ML

Where each one falls short

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

Comet ML

  • The free cloud tier caps data at 25,000 spans a month with 60 day retention
  • Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
  • Overage on Pro is $5 per additional 100,000 spans
  • The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
  • Pro MLOps is $19 per user per month and caps the team at 10 users

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

Comet ML

Free
  • FreeFree
    • 100 experiments
    • Basic features
    • Community support
  • Team$179/month
    • Unlimited experiments
    • Team collaboration
    • Priority support

Google Vertex AI

On request

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

Which should you pick?

Choose Comet ML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Web, Linux, Mac, Windows.
  • You also want code versioning.
Comet ML 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 Comet ML or Google Vertex AI better?
Neither clearly leads. Comet ML starts at Free 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, Comet ML or Google Vertex AI?
Comet ML has a free tier; the other does not. Paid plans start at Free for Comet ML and On request for Google Vertex AI.
Does Comet ML or Google Vertex AI run on more platforms?
Comet ML runs on Web, Linux, Mac, Windows. Google Vertex AI runs on Cloud, Web.
Can I use Comet ML for free?
Yes. Comet ML has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is Comet ML best used for?
Comet ML is most often used for tracking machine learning experiments, metrics and model versions, monitoring and evaluating llm applications with tracing. Of those, tracking machine learning experiments, metrics and model versions and monitoring and evaluating llm applications with tracing are not what Google Vertex AI is typically brought in for.
What can Comet ML do that Google Vertex AI cannot?
Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Both handle PyTorch, TensorFlow, 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
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
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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