H2O.ai vs SAS Enterprise Miner comparison

H2O.ai and SAS are both solutions in the Data Science Platforms category. H2O.ai is ranked #15 with an average rating of 7.7, while SAS is ranked #23. H2O.ai holds a 1.9% mindshare in Data Science Platforms, compared to SAS’s 1.6% mindshare. Additionally, 100% of H2O.ai users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

H2O.ai

Read 10 H2O.ai reviews

1,331 Views
1,238 Comparison Views

100% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,059 Views
805 Comparison Views

93% willing to recommend

H2O.ai

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

SAS Enterprise Miner and H2O.ai compete in the analytics and machine learning space. Based on the assessments, H2O.ai seems to hold an advantage due to its modern AI capabilities and flexibility in deployment and pricing.

Features: SAS Enterprise Miner has advanced analytics tools, high performance, and scalability for large enterprises. Its suite includes decision tree creation, data management and analytics, and integration capabilities. H2O.ai provides machine learning automation, deep and adaptive learning processes, and ease of use with features like AutoML and support for Jupyter Notebooks.

Room for Improvement: SAS Enterprise Miner could enhance its user interface for simplicity and improve flexibility in integration. Increasing user autonomy and reducing reliance on dedicated infrastructure would be beneficial. H2O.ai could expand its reporting capabilities, improve initial setup speed, and offer better visualization options for ease of understanding model performance.

Ease of Deployment and Customer Service: SAS Enterprise Miner requires dedicated infrastructure and offers thorough training, ensuring a complete deployment process. It is known for extensive enterprise-level support. H2O.ai supports flexible deployment on various platforms, including cloud, offering faster installations with agile-focused customer service, appealing to technologically advanced environments.

Pricing and ROI: SAS Enterprise Miner involves a substantial initial investment suitable for long-term ROI in large enterprises. H2O.ai offers a cost-effective pricing model with a faster ROI potential, thanks to lower setup costs and efficiency in AI projects. It is attractive for its agility and effectiveness in achieving outcomes.

To learn more, read our detailed H2O.ai vs. SAS Enterprise Miner Report (Updated: December 2025).

Buyer's Guide

H2O.ai vs. SAS Enterprise Miner

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

H2O.ai

Ranking in Data Science Platforms

15th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Model Monitoring (4th)

SAS Enterprise Miner

Ranking in Data Science Platforms

23rd

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (7th)

Mindshare comparison

As of January 2026, in the Data Science Platforms category, the mindshare of H2O.ai is 1.9%, up from 1.5% compared to the previous year. The mindshare of SAS Enterprise Miner is 1.6%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
H2O.ai	1.9%
SAS Enterprise Miner	1.6%
Other	96.5%

Data Science Platforms

Featured Reviews

Muhammad Adnan

Senior Manager - AI at Shamal Holding

Have improved machine learning model automation and reduced decision-making time

One improvement I would like to see in H2O.ai is regarding the integration capabilities with different data sources, as I've seen platforms like DataIQ and DataBricks offer great integration with various data sources. H2O.ai could benefit from enhanced integration with real-time versus offline data sources, as well as improvements in productionalization solutions, including better deployment options on platforms like Azure and CI/CD integration. One of the features I'd like to see included in upcoming releases of H2O.ai pertains to the growing trend of Generative AI, with applications for LLM-based models and vector databases. I would like to see a solution similar to Azure AI Foundry, which provides the flexibility to integrate different LLMs into applications, including H2O-GPT and other models for varied applications.

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reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

A stable product that is easy to deploy and can be used for structured and unstructured data mining

We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"AutoML helps in hands-free initial evaluations of efficiency/accuracy of ML algorithms."

"The ease of use in connecting to our cluster machines."

"One of the most interesting features of the product is their driverless component. The driverless component allows you to test several different algorithms along with navigating you through choosing the best algorithm."

"H2O.ai provides better flexibility where I could examine more models and obtain results, and based on these results, I could make the next set of decisions."

"Fast training, memory-efficient DataFrame manipulation, well-documented, easy-to-use algorithms, ability to integrate with enterprise Java apps (through POJO/MOJO) are the main reasons why we switched from Spark to H2O."

"It is helpful, intuitive, and easy to use. The learning curve is not too steep."

"The most valuable feature of H2O.ai is that it is plug-and-play."

"The most valuable features are the machine learning tools, the support for Jupyter Notebooks, and the collaboration that allows you to share it across people."

More H2O.ai pros

"I like the way the product visually shows the data pipeline."

"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."

"The solution is very good for data mining or any mining issues."

"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."

"The setup is straightforward. Deployment doesn't take more than 30 minutes."

"The most valuable feature is the decision tree creation."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

"The solution is able to handle quite large amounts of data beautifully."

More SAS Enterprise Miner pros

Cons

"The model management features could be improved."

"One improvement I would like to see in H2O.ai is regarding the integration capabilities with different data sources, as I've seen platforms like DataIQ and DataBricks offer great integration with various data sources."

"Referring to bullet-3 as well, H2O DataFrame manipulation capabilities are too primitive."

"It needs a drag and drop GUI like KNIME, for easy access to and visibility of workflows."

"On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time."

"The interpretability module has room for improvement. Also, it needs to improve its ability to integrate with other systems, like SageMaker, and the overall integration capability."

"It lacks the data manipulation capabilities of R and Pandas DataFrames. We would kill for dplyr offloading H2O."

"I would like to see more features related to deployment."

More H2O.ai cons

"The ease of use can be improved. When you are new it seems a bit complex."

"The solution is much more complex than other options."

"Virtualization could be much better."

"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

"The visualization of the models is not very attractive, so the graphics should be improved."

"Technical support could be improved."

"The initial setup is challenging if doing it for the first time."

"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"We have seen significant ROI where we were able to use the product in certain key projects and could automate a lot of processes. We were even able to reduce staff."

"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

"This solution is for large corporations because not everybody can afford it."

"The solution must improve its licensing models."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

Educational Organization

Financial Services Firm

26%

Educational Organization

10%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	7

Questions from the Community

What needs improvement with H2O.ai?

Even though H2O.ai provides the best model, there could be improvements in certain areas. For instance, when you want to work with fusion models, H2O.ai doesn't provide that kind of information. Cu...

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What is your primary use case for H2O.ai?

I used H2O.ai on several POCs for my previous company, and it helped me find the best model. I needed to determine which model was performing better for job portal data. At that time, H2O.ai was ev...

See all answers

What advice do you have for others considering H2O.ai?

For larger datasets, model computation or model training and testing typically takes considerable time because with individual models, you need to train and test each one. With H2O.ai, these concer...

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Comparisons

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Compared 11% of the time

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Compared 10% of the time

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Compared 12% of the time

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Product Reports

Buyer's Guide

Data Science Platforms

January 2026

Download H2O.ai product report

Buyer's Guide

Data Mining

December 2025

Download SAS Enterprise Miner product report

Also Known As

No data available

Enterprise Miner

Overview

H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O’s supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models. The H2O platform is used by over 14,000 organizations globally and is extremely popular in both the R & Python communities.

H2O.ai

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

SAS

Sample Customers

poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

H2O.ai vs. SAS Enterprise Miner

December 2025

Free Report: H2O.ai vs. SAS Enterprise Miner

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