We changed our name from IT Central Station: Here's why

H2O.ai vs IBM Watson Studio comparison

Cancel
You must select at least 2 products to compare!
H2O.ai Logo
6,476 views|4,450 comparisons
IBM Watson Studio Logo
5,414 views|4,343 comparisons
Featured Review
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
564,643 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:
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
564,643 professionals have used our research since 2012.
Questions from the Community
Ask a question

Earn 20 points

Top Answer: 
We are looking to automate (parts of) our budgeting and financial forecasting cycle
Ranking
18th
Views
6,476
Comparisons
4,450
Reviews
0
Average Words per Review
0
Rating
N/A
12th
Views
5,414
Comparisons
4,343
Reviews
2
Average Words per Review
551
Rating
8.5
Comparisons
Also Known As
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
Learn More
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.

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

Offer
Learn more about H2O.ai
Learn more about IBM Watson Studio
Sample Customers
poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
GroupM, Accenture, Fifth Third Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider16%
Financial Services Firm9%
Energy/Utilities Company5%
VISITORS READING REVIEWS
Comms Service Provider24%
Computer Software Company21%
Educational Organization8%
Financial Services Firm7%
Company Size
REVIEWERS
Small Business13%
Midsize Enterprise25%
Large Enterprise63%
REVIEWERS
Small Business78%
Large Enterprise22%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
564,643 professionals have used our research since 2012.

H2O.ai is ranked 18th in Data Science Platforms while IBM Watson Studio is ranked 12th in Data Science Platforms with 2 reviews. H2O.ai is rated 0.0, while IBM Watson Studio is rated 8.0. On the other hand, the top reviewer of IBM Watson Studio writes "Integrates consistently across your digital channel when trying to build an end-to-end digital platform". H2O.ai is most compared with Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio, KNIME, Amazon SageMaker and SAS Visual Analytics, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Google Cloud Datalab, Amazon SageMaker and KNIME.

See our list of best Data Science Platforms vendors.

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.