Softwr

Business Intelligence · head to head

Dundas BI vs H2O.ai

Dundas BI logo

Dundas BI

Business Intelligence

Flexible business intelligence platform

From
$500/month
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: Dundas BI the published Embedded BI Package starts from about $4,738.70 USD per month billed annually for 8 core capacity; 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: Dundas BI covers White-labeling, H2O.ai covers AutoML.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dundas BI and H2O.ai actually diverge.

Attributes where Dundas BI and H2O.ai differ
AttributeDundas BIH2O.ai
Starting price$500/monthFree
Pricing modelsubscriptionfreemium
Free tierNoYes
PlatformsWeb, Embedded, MobileWeb, Cloud
CategoryBusiness IntelligenceMachine Learning
Founded19922011

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 Dundas BI

  • White-labeling
  • Embedded Analytics
  • Data Preparation
  • Custom Visualizations
  • API
  • SQL Server
  • Oracle
  • PostgreSQL

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.

Dundas BI

  • Embedding dashboards and analytics inside another applicationnot H2O.ai
  • Self service business intelligence and ad hoc reportingnot H2O.ai
  • Building custom data visualisations against open BI APIsnot H2O.ai

H2O.ai

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

Where each one falls short

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

Dundas BI

  • The published Embedded BI Package starts from about $4,738.70 USD per month billed annually for 8 core capacity
  • That figure reflects a limited time 35 percent promotional discount rather than list price
  • Licensing is by CPU core capacity rather than by user, so cost scales with server hardware
  • Dundas is now part of insightsoftware following acquisition
  • The page states that a pricing plan is worked out together with the vendor rather than published as a rate card

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

Dundas BI

$500/month
  • Professional$500/month
    • Full Platform
    • Embedding
    • Support
  • EnterpriseFree
    • Unlimited Users
    • Multi-tenant
    • Premium 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 Dundas BI if

  • You need white-labeling.
  • You work on Web, Embedded, Mobile.
  • You also want embedded analytics.
Dundas BI 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 Dundas BI or H2O.ai better?
Neither clearly leads. Dundas BI starts at $500/month and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dundas BI or H2O.ai?
H2O.ai has a free tier; the other does not. Paid plans start at $500/month for Dundas BI and Free for H2O.ai.
Does Dundas BI or H2O.ai run on more platforms?
Dundas BI runs on Web, Embedded, Mobile. 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. Dundas BI starts at $500/month.
What is Dundas BI best used for?
Dundas BI is most often used for embedding dashboards and analytics inside another application, self service business intelligence and ad hoc reporting, building custom data visualisations against open bi apis. Of those, embedding dashboards and analytics inside another application and self service business intelligence and ad hoc reporting are not what H2O.ai is typically brought in for.
What can Dundas BI do that H2O.ai cannot?
Dundas BI covers White-labeling, Embedded Analytics, Data Preparation, Custom Visualizations. H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Both handle Web support.

Answered from the vendors’ own pages

Dundas BI: How much does Dundas BI cost?

Dundas BI does not publish specific pricing. The vendor emphasizes 'smarter licensing models to scale appropriately and achieve ROI rapidly' and offers 'custom plans that fit your needs' rather than standardized tiers. Customers must contact Dundas directly for pricing quotes tailored to their enterprise or embedded analytics use case.

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
Dundas BI: What licensing options does Dundas BI offer?

Dundas BI describes their approach as flexible licensing designed to scale based on deployment needs. Specific licensing models and per-seat or concurrent-user costs are determined through custom quotes.

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
Share

Related pages

More on Dundas BI

More on H2O.ai

Keep looking

Other head to heads