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Machine Learning · head to head

H2O.ai vs Passbolt

H2O.ai logo

H2O.ai

Machine Learning

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Passbolt logo

Passbolt

Cybersecurity

Open-source password manager for teams with self-hosted or cloud deployment

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; Passbolt pro Edition requires a minimum of 10 users, making it costlier for very small teams.
  • They diverge on capability: H2O.ai covers AutoML, Passbolt covers Password sharing and folders.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where H2O.ai and Passbolt differ
AttributeH2O.aiPassbolt
Pricing modelfreemiumopen-source
PlatformsWeb, Cloudweb, windows, mac, linux, api
CategoryMachine LearningCybersecurity
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 Passbolt

  • Password sharing and folders
  • Groups and role-based access
  • Browser extensions and CLI
  • Open API
  • LDAP provisioning and SSO
  • Activity audit log

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

Passbolt

  • Self-hosting a team password manager for data sovereigntynot H2O.ai
  • Provisioning vault access from an existing LDAP/AD directorynot H2O.ai
  • Sharing credentials across engineering or IT teams via folders and groupsnot H2O.ai
  • Automating credential retrieval through the CLI or open APInot 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

Passbolt

  • Pro Edition requires a minimum of 10 users, making it costlier for very small teams.
  • Community Edition lacks SSO and LDAP provisioning, which many organizations need for onboarding at scale.
  • Self-hosting the Community Edition requires infrastructure and maintenance effort compared to fully managed competitors.
  • Enterprise-tier support and HA consulting require custom, quote-based pricing rather than transparent rates.

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

Passbolt

Free
  • Community EditionFree
    • Unlimited users
    • Password sharing and folders
    • Role-based access control
  • Pro Edition$4.9/month
    • Minimum 10 users, billed annually
    • LDAP/AD provisioning
    • Single sign-on
  • Enterprise Edition$undefined/month
    • High availability and disaster recovery consulting
    • White-glove migration
    • Custom feature development

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 Passbolt if

  • You need password sharing and folders.
  • You want to start without paying.
  • You work on web, windows, mac, linux, api.
  • You also want groups and role-based access.

Questions people ask

Is H2O.ai or Passbolt better?
Neither clearly leads. H2O.ai starts at Free and Passbolt at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, H2O.ai or Passbolt?
H2O.ai starts at Free and Passbolt at Free.
Does H2O.ai or Passbolt run on more platforms?
H2O.ai runs on Web, Cloud. Passbolt runs on web, windows, mac, linux, api.
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 Passbolt is typically brought in for.
What can H2O.ai do that Passbolt cannot?
H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Passbolt covers Password sharing and folders, Groups and role-based access, Browser extensions and CLI, Open 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
Passbolt: Is Passbolt free to use?

Yes. The Community Edition is free forever with unlimited users, including password sharing, folders, groups, role-based access, browser extensions, a CLI, and an open API.

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
Passbolt: What does the Pro Edition cost and add?

Pro Edition costs $4.90 per user per month billed annually, with a 10-user minimum, and adds LDAP/AD provisioning, single sign-on, account recovery escrow, activity audit logs, and next-business-day support.

Source
Passbolt: What license is Passbolt distributed under?

All Passbolt editions, including Pro and Enterprise, are distributed under the AGPL v3 open-source license.

Source
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