Amazon Augmented AI vs DataRobot comparison

Amazon Web Services (AWS) and DataRobot are both solutions in the AI Development Platforms category. Amazon Web Services (AWS) is ranked #17 with an average rating of 8.0, while DataRobot is ranked #14 with an average rating of 8.7. Amazon Web Services (AWS) holds a 0.6% mindshare in AIDP, compared to DataRobot’s 1.6% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of DataRobot users who would recommend it.

Amazon Augmented AI

Read 1 Amazon Augmented AI review

290 Views
287 Comparison Views

100% willing to recommend

DataRobot

Read 5 DataRobot reviews

1,829 Views
1,079 Comparison Views

100% willing to recommend

Amazon Augmented AI

DataRobot

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Executive Summary

We performed a comparison between Amazon Augmented AI and DataRobot based on real PeerSpot user reviews.

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AI Development Platforms

September 2025

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Review summaries and opinions

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

Categories and Ranking

Amazon Augmented AI

Ranking in AI Development Platforms

17th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

DataRobot

Ranking in AI Development Platforms

14th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Predictive Analytics (5th), AIOps (16th)

Mindshare comparison

As of October 2025, in the AI Development Platforms category, the mindshare of Amazon Augmented AI is 0.6%, up from 0.4% compared to the previous year. The mindshare of DataRobot is 1.6%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms Market Share Distribution
Product	Market Share (%)
DataRobot	1.6%
Amazon Augmented AI	0.6%
Other	97.8%

AI Development Platforms

Featured Reviews

reviewer2648256

Works

Automation reduces costs and boosts efficiency in financial tasks

I use Amazon Augmented AI for voice recognition and emotion recognition when I receive numerous emails, which are often not worth replying to. I rectify this with machine learning tools. I work in the financial industry, specializing in banks, insurance companies, government, and more The most…

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SagarYadav

Staff Specialist Data Scientist at BMC Software, Inc.

Automating model comparison speeds up development and reduces timelines

DataRobot is equipped with a GUI-based approach that simplifies the process of feature engineering and model training. It provides AutoML capabilities, which allow for comparing thousands of models and selecting the best-suited one based on business requirements. By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.

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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

"The most valuable feature of Amazon Augmented AI is its automation capability."

"We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."

"DataRobot is highly automated, allowing data scientists to build models easily."

"It's easy to do MLOps operations. It's a lot easier to manage jobs and see the logs if there's any drift in a model."

"DataRobot can be easy to use."

"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."

Cons

"The development support, costing twenty-nine dollars per month, is almost ineffective, with long email response times."

"There needs to be continuous monitoring and improvement, especially regarding security issues, to address threats from hackers."

"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."

"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum."

"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."

"There are some performance issues."

"DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality."

Pricing and Cost Advice

Information not available

"The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."

"We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Manufacturing Company

11%

Computer Software Company

11%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Amazon Augmented AI?

The support levels offered by Amazon vary in cost. While the development support is cheap, it is inadequate, and the better support levels depend on usage, such as the number of virtual machines an...

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What needs improvement with Amazon Augmented AI?

There needs to be continuous monitoring and improvement, especially regarding security issues, to address threats from hackers. Libraries require more tweaking for ongoing development and improveme...

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What is your primary use case for Amazon Augmented AI?

See all answers

What needs improvement with DataRobot?

DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality.

See all answers

What is your primary use case for DataRobot?

In our day-to-day use, I utilize DataRobot to speed up our development process through its GUI capability. Once I set up our connection with a back-end data set, whatever the project I work on next...

See all answers

What advice do you have for others considering DataRobot?

I would recommend DataRobot because if there is something not included in the UI, I have the freedom to use its Python API, which extends the capability for different use cases. Additionally, I wou...

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Comparisons

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Compared 43% of the time

Microsoft Azure Machine Learning Studio vs Amazon Augmented AI

Compared 40% of the time

Google Cloud AI Platform vs Amazon Augmented AI

Compared 17% of the time

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Amazon SageMaker vs DataRobot

Compared 36% of the time

Alteryx vs DataRobot

Compared 9% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 8% of the time

IBM Watson Machine Learning vs DataRobot

Compared 8% of the time

Altair RapidMiner vs DataRobot

Compared 7% of the time

More DataRobot Competitors

Product Reports

Buyer's Guide

AI Development Platforms

September 2025

Download Amazon Augmented AI product report

Buyer's Guide

Predictive Analytics

October 2025

Download DataRobot product report

Also Known As

Amazon A2I

No data available

Overview

Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.

Amazon Web Services (AWS)

DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.

DataRobot

Sample Customers

T Mobile, VidMob, Ripcord, NHS BSA

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant

Buyer's Guide

AI Development Platforms

September 2025

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