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Machine Learning · head to head

H2O.ai vs Varonis Data Security Platform

H2O.ai logo

H2O.ai

Machine Learning

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Full reviewWebsite
Varonis Data Security Platform logo

Varonis Data Security Platform

Cybersecurity

Data security platform that maps effective permissions, content classification and access activity across file shares, Microsoft 365 and SaaS.

From
$100/year
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: 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; Varonis Data Security Platform deployment is a project rather than an installation: collectors, service accounts, the initial crawl of a large file estate and behavioural baselining typically run for weeks to months before the first genuinely useful report, so value arrives well after the invoice does.
  • They diverge on capability: H2O.ai covers AutoML, Varonis Data Security Platform covers Effective permissions modelling.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which H2O.ai and Varonis Data Security Platform actually diverge.

Attributes where H2O.ai and Varonis Data Security Platform differ
AttributeH2O.aiVaronis Data Security Platform
Starting priceFree$100/year
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsWeb, CloudWeb, Desktop
CategoryMachine LearningCybersecurity
Founded20112005

Identical on both: 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 Varonis Data Security Platform

  • Effective permissions modelling
  • Content classification
  • Access activity auditing
  • Behavioural alerting
  • Blast radius view
  • Automated remediation
  • Stale data identification
  • Ransomware 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 Varonis Data Security Platform
  • Training and productionising models from R or Python against a shared H2O clusternot Varonis Data Security Platform

Varonis Data Security Platform

  • Answering an auditor or a board asking exactly which sensitive files are reachable by every employee and who has opened themnot H2O.ai
  • Cleaning up Microsoft 365 sprawl where Teams, SharePoint sites and shared links accumulated faster than governancenot H2O.ai
  • Investigating an insider incident where you need a defensible record of what a departing employee accessed and whennot H2O.ai
  • Reducing the blast radius of a compromised account before an incident by removing global access groups and broken inheritancenot 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

Varonis Data Security Platform

  • Deployment is a project rather than an installation: collectors, service accounts, the initial crawl of a large file estate and behavioural baselining typically run for weeks to months before the first genuinely useful report, so value arrives well after the invoice does.
  • The collection model requires granting the platform broad read access across the data you are trying to protect, which needs its own approval and creates a high-value target, and some change boards spend longer approving that access than approving the purchase.
  • Findings are produced far faster than remediation capacity: an initial scan routinely surfaces hundreds of thousands of overexposed objects, and fixing them means altering permissions owned by business units, so without an executive mandate it becomes a dashboard nobody acts on.
  • Licensing is driven by identity counts and connected data sources, so a directory full of stale accounts and service principals inflates the bill and every additional platform you connect adds cost, which quietly pushes organisations to leave their least-governed systems uncovered.
  • Coverage is deepest in the Microsoft estate and thinner elsewhere: connectors exist for other SaaS and database platforms but they do not all support the same classification, alerting and automated remediation, so a heterogeneous estate receives uneven protection at a uniform price.

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

Varonis Data Security Platform

$100/year
  • Varonis Essentials$100/year
    • Data classification
    • Access visibility
    • Permission management
  • Varonis Professional$175/year
    • All Essentials features
    • Threat detection
    • User behavior analytics
  • Varonis Enterprise$300/year
    • All Professional features
    • Advanced analytics
    • Incident response

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 Varonis Data Security Platform if

  • You need effective permissions modelling.
  • You work on Web, Desktop.
  • You also want content classification.
Varonis Data Security Platform review

Questions people ask

Is H2O.ai or Varonis Data Security Platform better?
Neither clearly leads. H2O.ai starts at Free and Varonis Data Security Platform at $100/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, H2O.ai or Varonis Data Security Platform?
H2O.ai has a free tier; the other does not. Paid plans start at Free for H2O.ai and $100/year for Varonis Data Security Platform.
Does H2O.ai or Varonis Data Security Platform run on more platforms?
H2O.ai runs on Web, Cloud. Varonis Data Security Platform runs on Web, Desktop.
Can I use H2O.ai for free?
Yes. H2O.ai has a free tier, so you can try it without paying. Varonis Data Security Platform starts at $100/year.
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 Varonis Data Security Platform is typically brought in for.
What can H2O.ai do that Varonis Data Security Platform cannot?
H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Varonis Data Security Platform covers Effective permissions modelling, Content classification, Access activity auditing, Behavioural alerting.

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
Varonis Data Security Platform: Is this data loss prevention?

No, and it is a common confusion. DLP watches data in motion and tries to stop it leaving. Varonis works on data at rest: where it is, who can reach it, and who touched it. They address different halves of the same problem and organisations frequently run both.

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
Varonis Data Security Platform: On-premises or SaaS?

It is now sold principally as SaaS, with edge collectors deployed on your network to reach on-premises file shares and directories. Older on-premises deployments with Windows collectors and SQL Server still exist in the field and are being migrated.

Varonis Data Security Platform: Does it need agents on every server?

Generally no. It collects through APIs and network protocols with service accounts, with collectors deployed near the data rather than agents on every host. That is one reason deployment is less invasive than the scale of the data suggests.

Varonis Data Security Platform: How long until it is useful?

Expect weeks to a few months depending on the size of the file estate and how quickly the service accounts and access are approved. The classification and behavioural baselining both need time before the alerts mean anything.

Varonis Data Security Platform: Can it fix the problems it finds automatically?

Yes, it can remove global access groups, repair broken inheritance and quarantine exposed files under policy. Most organisations run this in simulation first, because automatically changing permissions on live business data goes wrong loudly.

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