Softwr

Machine Learning · head to head

H2O.ai vs Trivy

H2O.ai logo

H2O.ai

Machine Learning

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Full reviewWebsite
Trivy logo

Trivy

Cybersecurity

Open-source vulnerability and misconfiguration scanner

From
Free
Rated
-
Full reviewWebsite

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; Trivy reports what public advisory databases know, so coverage varies by ecosystem and unfixed CVEs create noise
  • They diverge on capability: H2O.ai covers AutoML, Trivy covers Multi-target scanning.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where H2O.ai and Trivy differ
AttributeH2O.aiTrivy
Pricing modelfreemiumOpen source, no licence fee
PlatformsWeb, CloudLinux, macOS, Windows, Docker, Kubernetes
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 Trivy

  • Multi-target scanning
  • Vulnerability detection
  • Misconfiguration checks
  • Secret detection

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

Trivy

  • Failing a pull request when a container image introduces a known CVEnot H2O.ai
  • Scanning Terraform and Kubernetes manifests for misconfiguration before applynot H2O.ai
  • Catching committed secrets as part of an existing CI stepnot 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

Trivy

  • Reports what public advisory databases know, so coverage varies by ecosystem and unfixed CVEs create noise
  • No built-in triage or exception workflow, so suppressing accepted risk is managed in config files
  • Findings are point-in-time from CI, with no continuous runtime monitoring unless you add the commercial platform

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

Trivy

Free
  • TrivyFree
    • Full scanner
    • Unlimited scans
    • 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.
H2O.ai review

Choose Trivy if

  • You need multi-target scanning.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want vulnerability detection.
Trivy review

Questions people ask

Is H2O.ai or Trivy better?
Neither clearly leads. H2O.ai starts at Free and Trivy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, H2O.ai or Trivy?
H2O.ai starts at Free and Trivy at Free.
Does H2O.ai or Trivy run on more platforms?
H2O.ai runs on Web, Cloud. Trivy runs on Linux, macOS, Windows, Docker, Kubernetes.
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 Trivy is typically brought in for.
What can H2O.ai do that Trivy cannot?
H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Trivy covers Multi-target scanning, Vulnerability detection, Misconfiguration checks, Secret detection.

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
Trivy: Is Trivy free?

Yes, open source from Aqua Security with no licence fee. Aqua sells a commercial platform around it.

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
Trivy: What can Trivy scan?

Container images, filesystems, Git repositories, Kubernetes clusters and infrastructure-as-code, for vulnerabilities, misconfigurations, secrets and licences.

Trivy: Does Trivy need a server?

No. It is a single binary, which is a large part of why it became a default in CI.

Share

Related pages

More on H2O.ai

More on Trivy

Keep looking

Other head to heads