Compare Google Cloud Datalab vs. H2O.ai

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Google Cloud Datalab Logo
3,034 views|2,669 comparisons
H2O.ai Logo
7,485 views|4,953 comparisons
Most Helpful Review
Anonymous User
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
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Quotes From Members

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

Pros
"All of the features of this product are quite good."

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"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."

More H2O.ai Pros »

Cons
"The interface should be more user-friendly."

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

More H2O.ai Cons »

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511,521 professionals have used our research since 2012.
Ranking
19th
Views
3,034
Comparisons
2,669
Reviews
1
Average Words per Review
303
Rating
8.0
14th
Views
7,485
Comparisons
4,953
Reviews
1
Average Words per Review
475
Rating
7.0
Popular Comparisons
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Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

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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Sample Customers
Information Not Available
poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
Top Industries
VISITORS READING REVIEWS
Comms Service Provider25%
Computer Software Company22%
Financial Services Firm11%
Retailer8%
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider15%
Financial Services Firm8%
Media Company5%
Company Size
No Data Available
REVIEWERS
Small Business13%
Midsize Enterprise25%
Large Enterprise63%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
511,521 professionals have used our research since 2012.

Google Cloud Datalab is ranked 19th in Data Science Platforms with 1 review while H2O.ai is ranked 14th in Data Science Platforms with 1 review. Google Cloud Datalab is rated 8.0, while H2O.ai is rated 7.0. The top reviewer of Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". On the other hand, the top reviewer of H2O.ai writes "Good collaboration functionality, but better integration with Python for data science is needed". Google Cloud Datalab is most compared with Databricks, IBM Watson Studio, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench and MathWorks Matlab, whereas H2O.ai is most compared with KNIME, Dataiku Data Science Studio, Amazon SageMaker, Microsoft Azure Machine Learning Studio and Alteryx.

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