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Google Vertex AI vs Pachyderm

Google Vertex AI logo

Google Vertex AI

Software

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

From
On request
Rated
-
Full reviewWebsite
P

Pachyderm

Software

Data versioning and pipelines for production ML

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Pachyderm 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; Pachyderm core software is Apache-2.0 licensed and free to self-host
  • They diverge on capability: Google Vertex AI covers AutoML, Pachyderm covers Data versioning.

Where they differ

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

Attributes where Google Vertex AI and Pachyderm differ
AttributeGoogle Vertex AIPachyderm
Starting priceOn requestFree
Pricing modelUnknownfreemium
Free tierNoYes
PlatformsCloud, WebLinux
Founded20082014

Identical on both: user rating (Not yet rated), category (Unknown).

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 Pachyderm

  • Data versioning
  • Data-driven pipelines
  • Automatic provenance
  • Kubernetes-native
  • Reproducibility
  • Kubernetes
  • S3
  • GCS

What people use each for

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

Google Vertex AI

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Pachyderm

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Both are used for machine learning, data analysis, model training, predictive analytics, on those jobs the choice comes down to price and fit rather than capability.

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

Pachyderm

  • Core software is Apache-2.0 licensed and free to self-host

Pricing, plan by plan

Google Vertex AI

On request

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

Pachyderm

Free
  • CommunityFree
    • Core features
    • Community support
  • EnterpriseFree
    • Advanced security
    • Premium support
    • SLAs

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 Pachyderm if

  • You need data versioning.
  • You want to start without paying.
  • You work on Linux.
  • You also want data-driven pipelines.
Pachyderm review

Questions people ask

Is Google Vertex AI or Pachyderm better?
Neither clearly leads. Google Vertex AI starts at On request and Pachyderm at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Vertex AI or Pachyderm?
Pachyderm has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for Pachyderm.
Does Google Vertex AI or Pachyderm run on more platforms?
Google Vertex AI runs on Cloud, Web. Pachyderm runs on Linux.
Can I use Pachyderm for free?
Yes. Pachyderm 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.
What can Google Vertex AI do that Pachyderm cannot?
Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Pachyderm covers Data versioning, Data-driven pipelines, Automatic provenance, Kubernetes-native.

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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