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Compare DataRobot and Google Cloud AutoML

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At a Glance
DataRobot
DataRobot
Star Rating
(26)4.4 out of 5
Market Segments
Small-Business (54.2% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about DataRobot
Google Cloud AutoML
Google Cloud AutoML
Star Rating
(25)4.2 out of 5
Market Segments
Small-Business (36.0% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AutoML
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that DataRobot excels in its automated machine learning capabilities, allowing users to quickly build and deploy models without extensive coding knowledge, while Google Cloud AutoML is praised for its integration with other Google services, making it a seamless choice for users already within the Google ecosystem.
  • Reviewers mention that DataRobot's drag-and-drop interface simplifies the model development process, making it accessible for small businesses, whereas Google Cloud AutoML's pre-built algorithms are highlighted for their effectiveness in specific use cases, particularly in natural language processing tasks.
  • G2 users indicate that DataRobot's data ingestion and wrangling tools are robust, allowing for efficient data preparation, while users on G2 note that Google Cloud AutoML offers superior scalability options, which is beneficial for larger enterprises looking to handle extensive datasets.
  • Users say that DataRobot provides a more comprehensive quality of support, with many reviewers appreciating the responsiveness and expertise of the support team, in contrast to Google Cloud AutoML, where some users report a need for improved customer service responsiveness.
  • Reviewers mention that DataRobot's model training features are user-friendly and effective, allowing for quick iterations, while Google Cloud AutoML is noted for its advanced deep learning capabilities, particularly in image and text analysis, which some users find more powerful for specific applications.
  • Users report that DataRobot's report generation tools are intuitive and provide valuable insights, whereas Google Cloud AutoML's data visualizations are considered less comprehensive, leading some users to seek additional tools for in-depth analysis.
Featured Products
Pricing
Entry-Level Pricing
DataRobot
No pricing available
Google Cloud AutoML
No pricing available
Free Trial
DataRobot
No trial information available
Google Cloud AutoML
No trial information available
Ratings
Meets Requirements
8.8
23
8.8
16
Ease of Use
8.5
23
8.6
16
Ease of Setup
7.0
11
7.8
13
Ease of Admin
7.4
11
8.2
14
Quality of Support
7.9
22
7.7
16
Has the product been a good partner in doing business?
8.3
11
8.6
13
Product Direction (% positive)
8.4
22
8.3
14
Features by Category
Data Science and Machine Learning PlatformsHide 34 FeaturesShow 34 Features
Not enough data
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System
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Model Development
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Model Development
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Machine/Deep Learning Services
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Machine/Deep Learning Services
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Deployment
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Deployment
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Generative AI
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Agentic AI - Data Science and Machine Learning Platforms
Not enough data
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Statistical Tool
Not enough data
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Data Analysis
Not enough data
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Decision Making
Not enough data
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Generative AI
Not enough data
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Categories
Categories
Shared Categories
DataRobot
DataRobot
Google Cloud AutoML
Google Cloud AutoML
DataRobot and Google Cloud AutoML are categorized as Data Science and Machine Learning Platforms
Unique Categories
DataRobot
DataRobot is categorized as Predictive Analytics
Google Cloud AutoML
Google Cloud AutoML has no unique categories
Reviews
Reviewers' Company Size
DataRobot
DataRobot
Small-Business(50 or fewer emp.)
54.2%
Mid-Market(51-1000 emp.)
16.7%
Enterprise(> 1000 emp.)
29.2%
Google Cloud AutoML
Google Cloud AutoML
Small-Business(50 or fewer emp.)
36.0%
Mid-Market(51-1000 emp.)
28.0%
Enterprise(> 1000 emp.)
36.0%
Reviewers' Industry
DataRobot
DataRobot
Computer Software
20.8%
Information Technology and Services
12.5%
Telecommunications
8.3%
Manufacturing
4.2%
Retail
4.2%
Other
50.0%
Google Cloud AutoML
Google Cloud AutoML
Information Technology and Services
16.0%
Research
12.0%
Consulting
4.0%
Retail
4.0%
Program Development
4.0%
Other
60.0%
Most Helpful Reviews
DataRobot
DataRobot
Most Helpful Favorable Review
LA
Luiz A.
Verified User in Computer Software

I manage a fast pace growing start-up focused on delivering AI services for the retail sector. Our specifications require us to develop, publish and manage many ML models, such as forecast engines, basket analysis algorithms, recommendation systems and so...

Most Helpful Critical Review
Verified User
G
Verified User in Education Management

Do not dislike anything. Its a okay product.

Google Cloud AutoML
Google Cloud AutoML
Most Helpful Favorable Review
RH
Roberto H.
Verified User in Program Development

This helped our company improve decision-making more quickly and easily. Faced with a set of data of interest, AutoML extracts the dataset of interest from users and determines a high-performance network architecture. It is the quick and easy way to start...

Most Helpful Critical Review
Verified User
G
Verified User in Consumer Goods

There’s nothing to dislike but maybe slow

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DataRobot
DataRobot Alternatives
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Google Cloud AutoML
Google Cloud AutoML Alternatives
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Discussions
DataRobot
DataRobot Discussions
Can I use external libraries with my algorithms?
1 comment
Craig P.
CP
Yes, you can. Algorithmia has complete package management capabilities built in to the platform. Read more
How much does using Algorithmia cost?
1 comment
Craig P.
CP
You can get started on Algorithmia Teams for as little as $299/month. Go to teams.algorithmia.com and sign up now!Read more
I found a bug in an algorithm or it's not producing the expected results, what can I do?
1 comment
Craig P.
CP
If you are an Algorithmia Enterprise user, contact your account team for an immediate response. For Teams, while you are logged in to the platform, you...Read more
Google Cloud AutoML
Google Cloud AutoML Discussions
Monty the Mongoose crying
Google Cloud AutoML has no discussions with answers