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Machine Learning · head to head

H2O.ai vs Rollup

H2O.ai logo

H2O.ai

Machine Learning

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Rollup logo

Rollup

Web Development

JavaScript module bundler built for libraries

From
Free
Rated
-

The short version

  • Each has a real cost: 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; Rollup slower than the Go and Rust bundlers that followed it, since it is written in JavaScript
  • They diverge on capability: H2O.ai covers AutoML, Rollup covers Tree shaking.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which H2O.ai and Rollup actually diverge.

Attributes where H2O.ai and Rollup differ
AttributeH2O.aiRollup
Pricing modelfreemiumOpen source, no licence fee
PlatformsWeb, CloudLinux, macOS, Windows
CategoryMachine LearningWeb Development
Founded2011Unknown

Identical on both: starting price (Free), free tier (Yes), 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 H2O.ai

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

Only in Rollup

  • Tree shaking
  • Clean output
  • Multiple output formats
  • Plugin API

What people use each for

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

H2O.ai

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

Rollup

  • Publishing a JavaScript library in several module formatsnot H2O.ai
  • Builds where output size and cleanliness matter more than build speednot H2O.ai
  • Producing ES module output for consumers who will bundle it themselvesnot H2O.ai

Where each one falls short

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

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

Rollup

  • Slower than the Go and Rust bundlers that followed it, since it is written in JavaScript
  • Application concerns like dev servers and hot reloading are not its job, so app builds need Vite on top
  • Configuration for non-trivial applications gets verbose compared with tools that assume more

Pricing, plan by plan

H2O.ai

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

Rollup

Free
  • RollupFree
    • Full functionality
    • Commercial use permitted
    • Community support

Which should you pick?

Choose H2O.ai if

  • You need automl.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want distributed computing.

Choose Rollup if

  • You need tree shaking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want clean output.

Questions people ask

Is H2O.ai or Rollup better?
Neither clearly leads. H2O.ai starts at Free and Rollup at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, H2O.ai or Rollup?
H2O.ai starts at Free and Rollup at Free.
Does H2O.ai or Rollup run on more platforms?
H2O.ai runs on Web, Cloud. Rollup runs on Linux, macOS, Windows.
Can I use H2O.ai for free?
Both have a free tier, so you can try either at no cost before committing.
What is H2O.ai best used for?
H2O.ai is most often used for distributed in-memory machine learning over large datasets, training and productionising models from r or python against a shared h2o cluster. Of those, distributed in-memory machine learning over large datasets and training and productionising models from r or python against a shared h2o cluster are not what Rollup is typically brought in for.
What can H2O.ai do that Rollup cannot?
H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Rollup covers Tree shaking, Clean output, Multiple output formats, Plugin API.

Answered from the vendors’ own pages

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
Rollup: Is Rollup free?

Yes, open source under the MIT licence.

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
Rollup: Rollup or webpack?

Rollup is the usual choice for libraries thanks to cleaner output and better tree shaking. webpack remains stronger for complex applications with heavy asset handling.

Rollup: Do I need Rollup if I use Vite?

Not directly. Vite uses Rollup for production builds, so you already benefit from it.

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