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DataRobot Agent Workforce Platform

byDataRobot
in
4.7
2025
Market Presence: Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning), Data Preparation Tools

Overview

Product Information on DataRobot Agent Workforce Platform

Updated 28th April 2022

What is DataRobot Agent Workforce Platform?

The DataRobot AI Platform is an open, end-to-end AI lifecycle platform that streamlines how to build, govern, and operate generative and predictive AI. Designed to unify the entire AI landscape, teams and workflows, it empowers the delivery of real-world value from AI initiatives while giving flexibility to evolve, and the enterprise control to scale with confidence.

DataRobot Agent Workforce Platform Pricing

DataRobot Agent Workforce Platform Product Images

No Code Application Builder
No Code Application Builder
Predictive Model Comparison
Predictive Model Comparison
Vector Database Building
Vector Database Building

Overall experience with DataRobot Agent Workforce Platform

CHIEF DATA OFFICER
250M - 500M USD, Banking
FAVORABLE

“DataRobot a hidden gem for Machine Learning & AI”

5.0
Aug 25, 2025
DataRobot has delivered on its promises and is supercharging our machine-learning environment. Their support team was able to help us get up and running in their comprehensive environment while setting us up for success. They continue to provide state of the art updates to their impressive product set.
Lead Business Data Analyst
30B + USD, Transportation
CRITICAL

“Balancing the Pros and Cons of DataRobot's Data Science Tool”

3.0
Feb 25, 2025
DataRobot is a great tool for beginners, but the beginners must have a foundational knowledge of data science to start. DataRobot pitches this tool like anyone can use it, and that's true -- but there's a difference between using it, and using it successfully. It glosses over many necessary steps in data science like outlier cleaning, confirming distributions, etc. I have seen models deployed in my organization that violate these assumptions, which end up reducing value of the problem. DataRobot also provides "auto feature searching" that doesn't really make sense. Lastly, the importance value displayed for DataRobot can be confusing and mislead w.r.t interaction effects. DataRobot does do many things well, too. The deployment and challenger functionality is unlike anything I've ever worked with. Additionally, the ability to set alerts for data drift is great.

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2025
For Market:
Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)

About Company

Company Description

Updated 9th December 2024

DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2012
Head office location
Boston, United States
Number of employees
501 - 1000
Website
https://www.datarobot.com

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

User Sentiment About DataRobot Agent Workforce Platform
Reviewer Insights for: DataRobot Agent Workforce Platform
Deciding Factors: DataRobot Agent Workforce Platform Vs. Market Average
Performance of DataRobot Agent Workforce Platform Across Market Features

DataRobot Agent Workforce Platform Likes & Dislikes

Like

-Model development ~ This system can develop tens of models in the time it would take us to just do pre-processing -Documentation ~ Working in a highly regulated field means that I need to be able to describe the processes and controls necessary to deliver models and DataRobot does that with the push of a button -Support ~ As we continue to onboard employees with differing requirements for modeling, the DataRobot team has ensured that they are ever present to assist our teams on the best use of their tool

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Like

- Deployment services and challenger functionality - Ease of running many models at once, if org doesn't have that type of compute power - Great product for beginners in data science

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Like

Despite the fact that the product is very powerful, the service team is also excellent, and the level of support the company provides is exceptional. They partner with you on any project, they provide advice, and they provide time that is flexible with your schedule to resolve a problem or present a solution. Also, it is worth mentioning that the product's documentation feature saves the analyst a tremendous amount of time in preparing a full documentation of a model.

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Dislike

- Learning Curve is high even with provided education - It's hard to tell what is included in my install and what isn't - I wish it had more warning for newer modelers so they don't assume the system is working

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Dislike

I don't like how the tool is pitched to users. The end-to-end project process in datarobot skips over many needs in the beginning process like EDA, outlier cleaning, etc. If these tools were built in (more than just a bar or line chart -- would be useful to see 3 features plotted together to see interactions) then we'd be onto something. Skipping this misleads the user, suggesting that just dumping a dataset in can yield great results, when in reality, this will give issues during scoring.

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Dislike

I don't think there is a weakness; however, the platform's interface is so rich in options and functions that it could be considered very powerful for analysts with a statistical background and would probably be overwhelming for users who don't have a strong background.

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Peer Discussions

DataRobot Agent Workforce Platform Reviews and Ratings

4.7

(760 Ratings)

Rating Distribution

5 Star
65%
4 Star
32%
3 Star
3%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.5

Integration & Deployment

4.5

Service & Support

4.7

Product Capabilities

4.6

Last 12 Months
Filter Reviews
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  • CHIEF DATA OFFICER
    50M-1B USD
    Banking
    Review Source

    DataRobot a hidden gem for Machine Learning & AI

    5.0
    Aug 25, 2025
    DataRobot has delivered on its promises and is supercharging our machine-learning environment. Their support team was able to help us get up and running in their comprehensive environment while setting us up for success. They continue to provide state of the art updates to their impressive product set.
  • MANGER CREDIT RISK
    10B+ USD
    Banking
    Review Source

    Great Platform, very powerful and would strongly recommend.

    5.0
    Aug 25, 2025
    We've been using DataRobot for almost 5 years now, the platform is very powerful, the level of efficiency we obtained during the transition from the standard legacy modeling into machine learning using DataRobot was very significant, once you provide the clean data, the machine will build numerous models using many different statistical techniques to select the best that fit the model or the analyst, also it has many functionalities when it comes to correlation validation, feature analysis, import external codes....etc. Overall, we are very satisfied with it
  • Data Scientist
    1B-10B USD
    Software
    Review Source

    Unlock Automation with DataRobot: Discover 100s of features & train models effortlessly

    4.0
    Aug 14, 2025
    The overall experience of the product is great! The customer support for the application on the on-prem deployment could be better. But, as the latest versions are on cloud, I'm sure the customer support experience there would be better.
  • CTO
    50M-1B USD
    Banking
    Review Source

    Efficient Automation and MLOps Support Benefit Both Small and Large Teams

    5.0
    Aug 28, 2025
    Datarobot is still the best AutoML platform hands down. The ability to upload datasets, feature engineer, build models, experiment, evaluate, deploy, monitor, retrain is 2nd to none. We spend a lot of time experimenting on improvements because Datarobot has made all the other steps efficient. The GenAI/LLM capabilities are on par with leading edge platforms and carry forward the same capabilities. In short, Datarobot has a great UX. For small teams, you can run a mature MLOps process with a single person. For large teams, you have everything needed for separation of duties and managing a large portfolio of ML/AI products.
  • Director of Risk Management
    50M-1B USD
    Miscellaneous
    Review Source

    Unique Enablement Team Sets New Standards for User Support

    5.0
    Aug 27, 2025
    The system is incredibly intuitive, the quality of data analysis it makes possible is very rich, and offers countless opportunities to enhance data for executive decision making.
...
Showing Result 1-5 of 776

Recommended Gartner Research

  • Critical Capabilities for Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
  • Magic Quadrant for Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

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