Compare H2O.ai vs. RapidMiner

H2O.ai is ranked 6th in Data Science Platforms with 6 reviews while RapidMiner is ranked 7th in Data Science Platforms with 4 reviews. H2O.ai is rated 7.6, while RapidMiner is rated 8.8. The top reviewer of H2O.ai writes "It is helpful, intuitive, and easy to use. The learning curve is not too steep". On the other hand, the top reviewer of RapidMiner writes "Features Include Cutting-Edge Data Science Tools and Algorithms". H2O.ai is most compared with KNIME, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio, whereas RapidMiner is most compared with KNIME, Alteryx and H2O.ai. See our H2O.ai vs. RapidMiner report.
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H2O.ai Logo
5,524 views|3,832 comparisons
RapidMiner Logo
9,057 views|7,610 comparisons
Most Helpful Review
Find out what your peers are saying about H2O.ai vs. RapidMiner and other solutions. Updated: November 2019.
378,124 professionals have used our research since 2012.
Quotes From Members

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

Pros
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.The ease of use in connecting to our cluster machines.It is helpful, intuitive, and easy to use. The learning curve is not too steep.AutoML helps in hands-free initial evaluations of efficiency/accuracy of ML algorithms.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.

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The documentation for this solution is very good, where each operator is explained with how to use it.I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries.Using the GUI, I can have models and algorithms drag and drop nodes.RapidMiner for Windows is an excellent graphical tool for data science.

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Cons
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.I would like to see more features related to deployment.The model management features could be improved.It needs a drag and drop GUI like KNIME, for easy access to and visibility of workflows.Referring to bullet-3 as well, H2O DataFrame manipulation capabilities are too primitive.It lacks the data manipulation capabilities of R and Pandas DataFrames. We would kill for dplyr offloading H2O.

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The price of this solution should be improved.The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade.Improve the online data services.

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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.

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I used an educational license for this solution, which is available free of charge.

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report
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378,124 professionals have used our research since 2012.
Ranking
6th
Views
5,524
Comparisons
3,832
Reviews
6
Average Words per Review
294
Avg. Rating
7.7
7th
Views
9,057
Comparisons
7,610
Reviews
3
Average Words per Review
206
Avg. Rating
9.0
Top Comparisons
Compared 25% of the time.
Compared 36% of the time.
Compared 21% of the time.
Compared 6% of the time.
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H2O.ai
RapidMiner
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.

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

Offer
Learn more about H2O.ai
Learn more about RapidMiner
Sample Customers
poder.io, Stanley Black & Decker, G5, PWC, Comcast, CiscoPayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Top Industries
VISITORS READING REVIEWS
Software R&D Company45%
Comms Service Provider13%
Financial Services Firm8%
Transportation Company7%
VISITORS READING REVIEWS
Software R&D Company21%
Energy/Utilities Company12%
Comms Service Provider12%
Manufacturing Company10%
Find out what your peers are saying about H2O.ai vs. RapidMiner and other solutions. Updated: November 2019.
378,124 professionals have used our research since 2012.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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