Amazon Augmented AI vs DataRobot comparison

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Amazon Augmented AI

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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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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

22nd

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

15th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Predictive Analytics (5th), AIOps (15th), AI Observability (72nd), AI Finance & Accounting (7th)

Mindshare comparison

As of April 2026, in the AI Development Platforms category, the mindshare of Amazon Augmented AI is 1.1%, up from 0.4% compared to the previous year. The mindshare of DataRobot is 2.0%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms Mindshare Distribution
Product	Mindshare (%)
DataRobot	2.0%
Amazon Augmented AI	1.1%
Other	96.9%

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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Naqash Ahmed

Senior Data Reporting Analyst at University of Bradford

Automation has improved efficiency and decision-making while big data handling and transparency still need work

Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black box. For example, when I uploaded a large data set of about two gigabytes for processing, the time taken was slower than expected. Additionally, the handling of bigger data sets could be better, as it performs extremely well with smaller datasets but can lag with larger ones. The integration with some other tools used in our organization can also be challenging, and more flexibility for custom pre-processing and advanced model tuning would be beneficial. In terms of support and documentation, I believe improvements are needed. For instance, the response time from DataRobot could be quicker, which would be appreciated when we need assistance. The documentation is generally sufficient, but it can be lengthy and could use more real-world examples and step-by-step tutorials for better clarity. Lastly, creating a client community where users can share experiences and solutions might enhance the overall value and learning curve.

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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."

"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."

"Tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours."

"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."

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

"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."

"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."

More DataRobot pros

Cons

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

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

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

"There is a lack of transparency in the models; sometimes it feels like a black box."

"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."

"We dropped the plan to use DataRobot because we found the pricing to be on the higher side."

"All the others can use it, but not to the maximum."

"The price points can also be improved."

"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."

"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."

More DataRobot cons

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

13%

Manufacturing Company

13%

Educational Organization

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	5

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...

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...

What is your primary use case for Amazon Augmented AI?

What is your experience regarding pricing and costs for DataRobot?

My experience with pricing, setup cost, and licensing reveals that the price points can be improved and DataRobot is not so cost-effective, especially for smaller organizations.

What needs improvement with DataRobot?

To improve DataRobot, I suggest enhancing model accuracy metrics and improving automation. The price points can also be improved. Another improvement that DataRobot needs is integrating the capabil...

What is your primary use case for DataRobot?

DataRobot serves as our data science platform for building machine learning models and the development environment for running models. We also use the best practice processes and governance that Da...

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Product Reports

AI Development Platforms

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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.

Sample Customers

T Mobile, VidMob, Ripcord, NHS BSA

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

AI Development Platforms