H2O AI Cloud Reviews & Ratings 2026 | Gartner Peer Insights

Reviewed in Last 12 Months

How Alternatives Are Selected

1. Alteryx One Platform

4.4

According to me, the experience with the Alteryx One platform has been good so far. And, when it comes to day-to-day daily usage, it is excellent to see how it is helping in centralising the data prep, automation and the analytics in one place, also significantly reducing the overhead of IT. The Alteryx One Platform's reliability, scheduling and governance features make it easier to support teams across the organisation without constant manual intervention. It has improved our data operations maturity and allowed IT people to deliver faster and more scalable analytics solutions. Especially the low-code workflows and the lower cost of the license are notable.Read all insights and reviews for Alteryx One Platform

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2. Dataiku

By Dataiku

4.7

(839 Ratings)

Even though I have an internal specialist that supports my unit on Dataiku issues, I've had a few exchanges with the UK Dataiku team and it was amazing. I've attended a user meet up and the last AI Summit and both events were carefully planned. I got a lot from it. The experience using the tool is the best possible. Dataiku has allowed me to do so much more at work. It opened doors to new possibilities on how to analyse our data and also present it. The low-code functionalities not only make the flow easy to interpret, but allows quick development. Read all insights and reviews for Dataiku

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3. DataRobot Agent Workforce Platform

By DataRobot

4.7

(710 Ratings)

DataRobot has delivered on its promises and is supercharging our machine-learning environment. Their support team was able to help us get up and running in their comprehensive environment while setting us up for success. They continue to provide state of the art updates to their impressive product set. Read all insights and reviews for DataRobot Agent Workforce Platform

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4. Amazon SageMaker AI

By Amazon Web Services (AWS)

4.4

(697 Ratings)

機械学習を大規模にかけたいが、常にマシーンコストを支払いたくない、そのニーズにマッチしてると思うし、何より手軽に始めれられる Read all insights and reviews for Amazon SageMaker AI

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5. MATLAB

By MathWorks

4.3

(454 Ratings)

MATLAB creates a better environment when dealing with data, models and simulations. With minimal computing skills, you are able to create a model using the given data. Has advanced visual capabilities that help in insight visualization from the transformation of raw data.Read all insights and reviews for MATLAB

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6. Altair RapidMiner

By Siemens (Altair)

4.5

(420 Ratings)

My experience with Rapid Altair Rapid Miner has been positive overall. The platform is intuitive, with drag and drop functionality that makes building and deployment easy - even for non-coders. Auto ML Feature accelerates deployment and integration with data sources and smooth.Read all insights and reviews for Altair RapidMiner

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7. IBM SPSS Statistics

By IBM

4.4

(335 Ratings)

SPSS allows our research team to run statistical analyses on large data sets, extracting the key insights, themes, and patterns in the data. It can detect significance, correlations, and relationships between our relevant variables, such as user satisfaction and produce usage. The ability to visualize the data also helps us in creating research reports to share our findings.Read all insights and reviews for IBM SPSS Statistics

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8. Databricks Data Intelligence Platform

By Databricks

4.5

(303 Ratings)

In regard to the recent updates, Databricks has simplified its ETL pipelines UI which makes it easier to use, apart from that we have recently started using Power BI tasks which makes the integration between Data Lakes and downstream reports, apart from that I think it's truly revolutionary approach in centralized security through Unity Catalog is truly commendable. Read all insights and reviews for Databricks Data Intelligence Platform

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