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Business Intelligence · head to head

Glassbox vs H2O.ai

Glassbox logo

Glassbox

Business Intelligence

Digital experience intelligence

From
On request
Rated
-
Full reviewWebsite
H2O.ai logo

H2O.ai

Machine Learning

AI Cloud for building and deploying AI applications

From
Free
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: Glassbox no fixed pricing tiers published; custom quotes required based on package, data retention, and session volume; 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: Glassbox covers Session Replay, H2O.ai covers AutoML.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Glassbox and H2O.ai differ
AttributeGlassboxH2O.ai
Starting priceOn requestFree
Pricing modelsubscriptionfreemium
Free tierNoYes
PlatformsWeb, Mobile, HybridWeb, Cloud
CategoryBusiness IntelligenceMachine Learning
Founded20102011

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 Glassbox

  • Session Replay
  • Struggle Detection
  • Journey Mapping
  • AI Insights
  • Voice of Customer
  • Adobe Analytics
  • Google Analytics
  • Salesforce

Only in H2O.ai

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

Both cover

  • Web support

What people use each for

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

Glassbox

  • User experience analysisnot H2O.ai
  • Bug reproductionnot H2O.ai
  • Conversion optimizationnot H2O.ai
  • Customer journey mappingnot H2O.ai
  • Usability testingnot H2O.ai

H2O.ai

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

Where each one falls short

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

Glassbox

  • No fixed pricing tiers published; custom quotes required based on package, data retention, and session volume

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

Glassbox

On request
  • CustomFree
    • Full Platform
    • Mobile Analytics
    • Enterprise Support

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 Glassbox if

  • You need session replay.
  • You work on Web, Mobile, Hybrid.
  • You also want struggle detection.
Glassbox 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 Glassbox or H2O.ai better?
Neither clearly leads. Glassbox starts at On request and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Glassbox or H2O.ai?
H2O.ai has a free tier; the other does not. Paid plans start at On request for Glassbox and Free for H2O.ai.
Does Glassbox or H2O.ai run on more platforms?
Glassbox runs on Web, Mobile, Hybrid. H2O.ai runs on Web, Cloud.
Can I use H2O.ai for free?
Yes. H2O.ai has a free tier, so you can try it without paying. Glassbox starts at On request.
What is Glassbox best used for?
Glassbox is most often used for user experience analysis, bug reproduction, conversion optimization, customer journey mapping. Of those, user experience analysis and bug reproduction are not what H2O.ai is typically brought in for.
What can Glassbox do that H2O.ai cannot?
Glassbox covers Session Replay, Struggle Detection, Journey Mapping, AI Insights. H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Both handle Web support.

Answered from the vendors’ own pages

Glassbox: How much does Glassbox cost?

Glassbox uses custom pricing based on three factors: the selected package (Production Operation, Marketing/Business, or Product), data retention period, and session volume. The vendor encourages contacting sales to build customized packages.

Source
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
Glassbox: Does Glassbox offer add-ons for specific industries?

Yes, Glassbox offers specialized add-on solutions including fraud prevention, accessibility features, and call center solutions tailored for financial organizations.

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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