Compare H2O.ai vs. KNIME

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H2O.ai Logo
7,585 views|5,012 comparisons
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Read 11 KNIME reviews.
25,270 views|19,094 comparisons
Most Helpful Review
Hemant Addal
Find out what your peers are saying about H2O.ai vs. KNIME and other solutions. Updated: January 2021.
454,950 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
"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."

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"This open-source product can compete with category leaders in ELT software.""The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.""This solution is easy to use and especially good at data preparation and wrapping.""It's a coding-less opportunity to use AI. This is the major value for me.""This solution is easy to use and it can be used to create any kind of model.""All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.""What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.""It is very fast to develop solutions."

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

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"The ability to handle large amounts of data and performance in processing need to be improved.""I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script.""It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end.""There should be better documentation and the steps should be easier.""KNIME needs to provide more documentation and training materials, including webinars or online seminars.""The predefined workflows could use a bit of improvement.""The documentation is lacking and it could be better.""There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."

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Pricing and Cost Advice
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"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website.""The price of KNIME is quite reasonable and the designer tool can be used free of charge.""It's an open-source solution.""The price for Knime is okay.""At this time, I am using the free version of Knime."

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Top Answer: This solution is easy to use and it can be used to create any kind of model.
Top Answer: The price of KNIME is quite reasonable and the designer tool can be used free of charge.
Top Answer: We are worried about the performance when it comes to using a lot of data that has many rows and columns. On the server-side, we are not sure whether KNIME can manage or handle large amounts of data… more »
Ranking
14th
Views
7,585
Comparisons
5,012
Reviews
4
Average Words per Review
315
Rating
7.3
3rd
Views
25,270
Comparisons
19,094
Reviews
10
Average Words per Review
497
Rating
8.4
Popular Comparisons
Compared 15% of the time.
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Compared 34% of the time.
Compared 14% of the time.
Compared 8% of the time.
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Also Known As
KNIME Analytics Platform
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H2O.ai
Knime
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.

KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures.
Offer
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Learn more about KNIME
Sample Customers
poder.io, Stanley Black & Decker, G5, PWC, Comcast, CiscoInfocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Top Industries
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider14%
Media Company6%
Insurance Company6%
REVIEWERS
Comms Service Provider20%
Retailer20%
University20%
Energy/Utilities Company10%
VISITORS READING REVIEWS
Computer Software Company22%
Comms Service Provider19%
Educational Organization7%
Manufacturing Company6%
Company Size
REVIEWERS
Small Business13%
Midsize Enterprise25%
Large Enterprise63%
REVIEWERS
Small Business29%
Midsize Enterprise38%
Large Enterprise33%
Find out what your peers are saying about H2O.ai vs. KNIME and other solutions. Updated: January 2021.
454,950 professionals have used our research since 2012.

H2O.ai is ranked 14th in Data Science Platforms with 2 reviews while KNIME is ranked 3rd in Data Science Platforms with 11 reviews. H2O.ai is rated 7.6, while KNIME is rated 8.4. The top reviewer of H2O.ai writes "Good collaboration functionality, but better integration with Python for data science is needed". On the other hand, the top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". H2O.ai is most compared with Amazon SageMaker, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio, Alteryx and Databricks, whereas KNIME is most compared with Alteryx, RapidMiner, Weka, Dataiku Data Science Studio and Databricks. See our H2O.ai vs. KNIME report.

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