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Machine Learning & Data Science · head to head

Google Vertex AI vs H2O.ai

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
H2O.ai logo

H2O.ai

Machine Learning & Data Science

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only H2O.ai 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; H2O.ai java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
  • They diverge on capability: Google Vertex AI covers Custom training, H2O.ai covers Distributed computing.

Where they differ

Only the attributes on which Google Vertex AI and H2O.ai actually diverge.

Attributes where Google Vertex AI and H2O.ai differ
AttributeGoogle Vertex AIH2O.ai
Starting priceOn requestFree
Pricing modelUnknownfreemium
Free tierNoYes
PlatformsCloud, WebWeb, Cloud
Founded20082011

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 Google Vertex AI

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

Only in H2O.ai

  • Distributed computing
  • Feature engineering
  • Model explainability
  • Time series forecasting
  • Spark
  • Hadoop
  • Python
  • R

Both cover

  • AutoML
  • Web support

What people use each for

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

Google Vertex AI

  • Machine learningnot H2O.ai
  • Data analysisnot H2O.ai
  • Model trainingnot H2O.ai
  • Predictive analyticsnot H2O.ai

H2O.ai

  • Distributed in-memory machine learning over large datasetsnot Google Vertex AI
  • Training and productionising models from R or Python against a shared H2O clusternot 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

H2O.ai

  • Java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
  • Supported Java versions stop at Java SE 17; newer versions only run by forcing an unsupported version flag and are guaranteed for experiments rather than production
  • H2O-3 only supports numpy below version 2, so a numpy 2 environment must be downgraded
  • Supported Python versions are limited to 3.7 through 3.11
  • The Flow web UI requires an internet browser and is the only graphical interface

Pricing, plan by plan

Google Vertex AI

On request

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

H2O.ai

Free
  • H2O-3 Open SourceFree
    • Core algorithms
    • AutoML
    • Community support
  • Driverless AIFree
    • Automatic feature engineering
    • Model explainability
    • Enterprise support

Which should you pick?

Choose Google Vertex AI if

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

Choose H2O.ai if

  • You need distributed computing.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want feature engineering.
H2O.ai review

Questions people ask

Is Google Vertex AI or H2O.ai better?
Neither clearly leads. Google Vertex AI starts at On request and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Vertex AI or H2O.ai?
H2O.ai has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for H2O.ai.
Does Google Vertex AI or H2O.ai run on more platforms?
Google Vertex AI runs on Cloud, Web. H2O.ai runs on Web, Cloud.
Can I use H2O.ai for free?
Yes. H2O.ai 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 H2O.ai is typically brought in for.
What can Google Vertex AI do that H2O.ai cannot?
Google Vertex AI covers Custom training, Feature Store, Model monitoring, Prediction serving. H2O.ai covers Distributed computing, Feature engineering, Model explainability, Time series forecasting. Both handle AutoML, 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
H2O.ai: Is H2O open source and free?

Yes. H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. H2O.ai also offers enterprise cloud solutions with additional features.

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
H2O.ai: How many companies use H2O's open source platform?

Over 18,000 companies across Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing use H2O's open-source machine learning platform.

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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