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Most Helpful Review
Find out what your peers are saying about Dataiku Data Science Studio vs. H2O.ai and other solutions. Updated: November 2020.
448,076 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 feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction.""The most valuable feature is the set of visual data preparation tools.""I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.""The solution is quite stable."

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"It is helpful, intuitive, and easy to use. The learning curve is not too steep.""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.""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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Cons
"The ability to have charts right from the explorer would be an improvement.""In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin.""I find that it is a little slow during use. It takes more time than I would expect for operations to complete.""The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."

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"The model management features could be improved.""I would like to see more features related to deployment.""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.""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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Pricing and Cost Advice
"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."

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"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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Questions from the Community
Top Answer: I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.
Top Answer: I think the interface is very nice, but for somebody who is not as familiar with IT as I am, it may be much more difficult for them. It is nice for me because I'm familiar with this type of software… more »
Top Answer: I just use the product for data migration. Once a month, I push data from one Redshift data warehouse to another Redshift data warehouse. I do that by using a simple SQL query.
Top Answer: 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.
Top Answer: On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time. It becomes a problem. I would like to see better integration with Python… more »
Top Answer: I am a solution architect and a consultant, and I use H2O as a machine learning platform. I create ensemble models using R and H2O, tune the hyperparameters, and then deploy them. There are various… more »
Ranking
12th
Views
12,730
Comparisons
9,077
Reviews
4
Average Words per Review
577
Avg. Rating
8.0
13th
Views
7,546
Comparisons
5,000
Reviews
5
Average Words per Review
350
Avg. Rating
7.6
Popular Comparisons
Compared 12% of the time.
Compared 18% of the time.
Compared 15% of the time.
Compared 10% of the time.
Compared 9% of the time.
Also Known As
Dataiku DSS
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Dataiku
H2O.ai
Overview

Dataiku DSS is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.

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.

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Learn more about Dataiku Data Science Studio
Learn more about H2O.ai
Sample Customers
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAutopoder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
Top Industries
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider13%
Financial Services Firm8%
Government7%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider14%
Media Company7%
Insurance Company7%
Company Size
No Data Available
REVIEWERS
Small Business13%
Midsize Enterprise25%
Large Enterprise63%
Find out what your peers are saying about Dataiku Data Science Studio vs. H2O.ai and other solutions. Updated: November 2020.
448,076 professionals have used our research since 2012.

Dataiku Data Science Studio is ranked 12th in Data Science Platforms with 4 reviews while H2O.ai is ranked 13th in Data Science Platforms with 5 reviews. Dataiku Data Science Studio is rated 8.0, while H2O.ai is rated 7.6. The top reviewer of Dataiku Data Science Studio writes "User interface is colorful, beautiful, and well-designed but sometimes the solution can be slow". On the other hand, the top reviewer of H2O.ai writes "It is helpful, intuitive, and easy to use. The learning curve is not too steep". Dataiku Data Science Studio is most compared with Alteryx, Databricks, KNIME, Amazon SageMaker and Microsoft Azure Machine Learning Studio, whereas H2O.ai is most compared with KNIME, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Alteryx and Databricks. See our Dataiku Data Science Studio vs. H2O.ai report.

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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.