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Software · head to head

BentoML vs H2O.ai

BentoML logo

BentoML

Software

Build production-ready ML applications

From
Free
Rated
-
Full reviewWebsite
H2O.ai logo

H2O.ai

Software

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BentoML core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.; 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: BentoML covers Model packaging, H2O.ai covers AutoML.

Where they differ

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

Attributes where BentoML and H2O.ai differ
AttributeBentoMLH2O.ai
PlatformsLinux, Mac, WindowsWeb, Cloud
Founded20192011

Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), 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 BentoML

  • Model packaging
  • REST API generation
  • Adaptive batching
  • Multi-framework support
  • Container deployment
  • PyTorch
  • TensorFlow
  • scikit-learn

Only in H2O.ai

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

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

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

BentoML

  • 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 BentoML
  • Training and productionising models from R or Python against a shared H2O clusternot BentoML

Where each one falls short

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

BentoML

  • Core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.

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

BentoML

Free
  • Open SourceFree
    • Model packaging
    • API creation
    • Local serving
  • BentoCloudFree
    • Managed deployment
    • Auto-scaling
    • Monitoring

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 BentoML if

  • You need model packaging.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want rest api generation.
BentoML review

Choose H2O.ai if

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

Questions people ask

Is BentoML or H2O.ai better?
Neither clearly leads. BentoML starts at Free and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BentoML or H2O.ai?
BentoML starts at Free and H2O.ai at Free.
Does BentoML or H2O.ai run on more platforms?
BentoML runs on Linux, Mac, Windows. H2O.ai runs on Web, Cloud.
Can I use BentoML for free?
Both have a free tier, so you can try either at no cost before committing.
What is BentoML best used for?
BentoML 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 BentoML do that H2O.ai cannot?
BentoML covers Model packaging, REST API generation, Adaptive batching, Multi-framework support. H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Both handle Linux support, Mac support, Windows support.

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
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
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