# h2o Software Pricing, Alternatives & More 2026 | Capterra > With the help of Capterra, learn about h2o Software - reviews, pricing plans, popular comparisons to other Machine Learning products and more. Source: https://www.capterra.com/p/158760/H2O --- # h2o Software Review 2026: Features, Integrations, Pros & Cons Last updated on February 13, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews) h2o ## What is h2o? H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O 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. ## What is h2o used for? [Deep Learning](https://www.capterra.com/deep-learning-software/)[Machine Learning](https://www.capterra.com/machine-learning-software/) Overall rating Based on 10 user reviews Reviews sentiment Positive \- Neutral \- Negative \- Contact vendor for pricing Free trial not available Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for h2o?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=http://www.h2o.ai&name=h2o) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### h2o 4.6 (10) VS. [### Rayven](https://www.capterra.com/p/173908/Rayven-Industrial-business-intelligence/) [5.0 (24)](https://www.capterra.com/p/173908/Rayven-Industrial-business-intelligence/#reviews) Starting Price Contact vendor Starting Price Contact vendor Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.1 (10) Ease Of Use 4.9 (24) Value For Money 4.6 (8) Value For Money 5.0 (24) Customer Service 4.1 (7) Customer Service 5.0 (24) ## h2o alternatives [Anaconda](https://www.capterra.com/p/191760/Anaconda/) [4.6 (86)](https://www.capterra.com/p/191760/Anaconda/reviews/) Starting price Contact vendor for pricing [Learn More](https://www.capterra.com/p/191760/Anaconda/) [Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/) [4.7 (2,259)](https://www.capterra.com/p/268690/Google-Cloud-Platform/reviews/) Starting price Contact vendor for pricing [Learn More](https://www.capterra.com/p/268690/Google-Cloud-Platform/) [Clickworker](https://www.capterra.com/p/175432/Clickworker/) [4.3 (58)](https://www.capterra.com/p/175432/Clickworker/reviews/) Starting price Contact vendor for pricing [Learn More](https://www.capterra.com/p/175432/Clickworker/) [MySQL](https://www.capterra.com/p/11482/MySQL/) [4.6 (2,094)](https://www.capterra.com/p/11482/MySQL/reviews/) Starting price $2000.00 Per User, Per Month [Learn More](https://www.capterra.com/p/11482/MySQL/) [View all alternatives](https://www.capterra.com/p/158760/H2O/alternatives/) ## Features Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically. Artificial Neural Networks Networks with interconnected neural units, including MLPs, CNNs, DNNs, RNNs, etc. Deep Learning Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. Document Classification Assign categories, labels, tags, or attributes to documents for organization, search and storage Generative AI Use AI to generate content in the form of text, images, videos, etc. ML Algorithm Library Share, track, and store machine learning models and data. Model Training Process of testing an ML algorithm by feeding it training data to learn from h2o 10 features Networks with interconnected neural units, including MLPs, CNNs, DNNs, RNNs, etc. Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. Assign categories, labels, tags, or attributes to documents for organization, search and storage Use AI to generate content in the form of text, images, videos, etc. Share, track, and store machine learning models and data. Process of testing an ML algorithm by feeding it training data to learn from Process and analyze human language in text or audio form Predict future data based on historical data sets Analyzing historical and current data and generating a model to help predict future outcomes. Graphical representation of data or processes Features 4.1 (10) 4.1 Based on 10 reviews ## Pricing Value for money 4.6 (8) ### Starting price Contact vendor for pricing Free trial not available Value for money 4.6 (8) 4.6 Based on 8 reviews ## Support, customer service and training options Customer Service 4.1 (7) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 4.1 (7) 4.1 Based on 7 reviews ## User reviews Overall rating 4.6 Based on 10 reviews Filter by rating 5(6) 4(4) 3(0) 2(0) 1(0) Mentioned topic Sorted by most recent AU Anonymous User Data Analyst Banking ### "Quickly build, train and tune your models" 4.0 Overall Rating 4.0 4.0 Ease of Use 3.0 3.0 Features 4.0 4.0 Customer Service 2.0 2.0 Likelihood to Recommend 9/10 May 27, 2019 Almost every model I have built, firstly I give a chance to H2O and see basic outcomes. After that, I switch to Python and manually build, tune, train and test my models. Pros I really like H2O machine learning and deep learning algorithms. I use its GUI for preprocessing and analyzing data. I can choose easily model type and tune it via options. It is really fast and run on really low memory like 2 GB. I have learn lotta new information about ML and deep learning thanks to H2O's help buttons. Cons Some model parameters can not be changed. Also I dom't like its preprocessing process. It misreads some characters for some file types. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. AU Anonymous User Research Assistant Higher Education ### "H2O Rview" 5.0 Overall Rating 5.0 5.0 Ease of Use 3.0 3.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 9/10 March 6, 2019 Pros H2O is a powerful opensource data science and machine learning platform. Most of the ML algorithms are supported and available to use. It's easy to launch H2O from R and it noticeably increases the speed of algorithms and reduces time. Cons It would be great if they provide more documentation and guideline. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AU Anonymous User Graduate Research Assistant Higher Education ### "Great at making machine learning accessible " 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 0.0 0.0 Likelihood to Recommend 8/10 February 17, 2019 Pros For the machine learning algorithms built into the program, they are incredibly optimizable. Every parameter and hyperparameter of each algorithm is tuneable, and the GUI allows all of this as well. Cons Programmatically using the software is difficult because the documentation is lacking and it is hard to find the documentation that they do have. It’s easier to use the GUI, but that isn’t good for an end-to-end solution. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AU Anonymous User Sr. Manager Central Research & Trade Farming ### "H2O.Ai Product Review" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 9/10 November 15, 2018 The major benefit of the product in the AutoMl. It's really useful when you are trying to optimize the parameters. Pros AutoMl is really useful and saves hours of work. H2O flow is easy use and it's very easy to get started using H2O flow. There is also support for python and R Cons There is no feature engineering. Depending on your data size, H2O.AI can take up lots of memory. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AU Anonymous User Chief Operating Officer ### "Great Machine Learning Solution" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 July 24, 2018 Pros H2o Flow is one of the easiest ML solutions for beginner data scientists with the breadth and depth needed to demonstrate competency. Cons The H2o.ai version is great (per a trial) but quite expensive and seems to be focused only on enterprises. A version for SMEs or smaller businesses would be great! Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. SR Somnath R. Undergraduate student Computer Software ### "Mr" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 April 30, 2018 Ran analysis on the data quickly and without having to code anything. Pros This is easy to use. I can quickly run a lot of well known algorithms without having to code anything at all. The open source nature helps too. Cons The docume.ntation can be improved substantially. Also, need to provide the ability to tweak some algorithms. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. PC Pranamesh C. Graduate Research Assistant Higher Education ### "Effective tool to gain AI insights" 4.0 Overall Rating 4.0 4.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 9/10 March 28, 2018 Pros The tool is very easy to install. Also, the interface is user-friendly. Can handle a lot of machine learning tools. Very handy tool for running quick analysis too. Cons The documentation can be improved substantially. Also, more authority can be given to user to tweek models as per requirement. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. SK Steve K. Student ### "Best place for competitive exposure" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 March 15, 2018 got exposure Pros Truly flat organization - nobody reports to anybody else. Makers have the power to steer towards opportunities, self-organize and ship products with zero organizational barrier between the product and customers. Worth it with all the analytics Cons lack of management and no accountability. It's hectic and unorganized to the point where you'll have no idea what you're doing, and what you should be doing. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. JS Jianlin S. Student Information Technology and Services ### "Easy to set up and run, nice interface" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 3.0 3.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 November 17, 2017 try some ideas quickly. Pros Notebook's nature of keeping things in one place. Some nice build-in features to interact with different data resources. Cons Less well documented developing guideline. It's some what difficult to build something above it. Notebook has its own shortcomings, which some operations seem less convenient. For instance, if the error output is too lengthy, I have to scroll all the way up to get where I need edit the code. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. GK gaurang k. Developer Information Services ### "H2O is value use fully for artificial intelligence." 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 3.0 3.0 Customer Service 4.0 4.0 Likelihood to Recommend 7/10 June 16, 2017 H2O is a Strong Performer in Predictive Analytics and Machine Learning. Pros Mostly ai can use or automation work. and H2O.ai is a Strong Performer in Predictive Analytics and Machine Learning. Cons In this software main part is use of that software. H2O not user friendly that way user think for uses. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. [View all Reviews](https://www.capterra.com/p/158760/H2O/reviews/) Independent research methodology Capterra's researchers use a mix of verified reviews, independent research and objective methodologies to bring you selection and ranking information you can trust. While we may earn a referral fee when you visit a provider through our links or speak to an advisor, this has no influence on our research or methodology. [Learn more](https://www.capterra.com/resources/proprietary-data-research/) How Capterra verifies reviews Capterra carefully verified over 2.5 million+ reviews to bring you authentic software experiences from real users. Our human moderators verify that reviewers are real people and that reviews are authentic. They use leading tech to analyze text quality and to detect plagiarism and generative AI. [Learn more](https://www.capterra.com/resources/how-we-verify-reviews/) How Capterra ensures transparency Capterra lists all providers across its website—not just those that pay us—so that users can make informed purchase decisions. Capterra is free for users. Software providers pay us for sponsored profiles to receive web traffic and sales opportunities. Sponsored profiles include a link-out icon that takes users to the provider's website. [Learn more](https://www.capterra.com/resources/how-we-ensure-transparency/)