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DataRobot pros and cons

Vendor: DataRobot
4.1 out of 5

Pros & Cons summary

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Prominent pros & cons

PROS

DataRobot excels in initial feature engineering, effectively selecting the right features.
DataRobot simplifies MLOps operations and model management.
DataRobot automates technical aspects like model comparison, boosting productivity and reducing timelines.
DataRobot enables model building with ease through its high automation.
Tasks such as model testing and predictions are significantly accelerated, completed in hours instead of days or weeks.

CONS

If they could include existing Python or R code in DataRobot, it would improve customization for industry-specific use cases.
The inability to integrate proprietary algorithms simply into DataRobot hinders flexibility and use case optimization.
There are performance issues that affect the usage effectiveness of DataRobot.
Generative AI and large language model support is currently lacking in DataRobot.
There is a lack of transparency in the models; sometimes it feels like a black box.
 

DataRobot Pros review quotes

Naqash Ahmed - PeerSpot reviewer
Oct 30, 2025
Tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
RK
May 21, 2024
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.
Raviteja Guna - PeerSpot reviewer
Jul 30, 2024
DataRobot is highly automated, allowing data scientists to build models easily.
Learn what your peers think about DataRobot. Get advice and tips from experienced pros sharing their opinions. Updated: November 2025.
873,085 professionals have used our research since 2012.
PK
Dec 12, 2021
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.
SagarYadav - PeerSpot reviewer
Feb 12, 2025
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
reviewer1489314 - PeerSpot reviewer
Apr 4, 2022
DataRobot can be easy to use.
 

DataRobot Cons review quotes

Naqash Ahmed - PeerSpot reviewer
Oct 30, 2025
There is a lack of transparency in the models; sometimes it feels like a black box.
RK
May 21, 2024
Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models.
Raviteja Guna - PeerSpot reviewer
Jul 30, 2024
There are some performance issues.
Learn what your peers think about DataRobot. Get advice and tips from experienced pros sharing their opinions. Updated: November 2025.
873,085 professionals have used our research since 2012.
PK
Dec 12, 2021
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.
SagarYadav - PeerSpot reviewer
Feb 12, 2025
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.
reviewer1489314 - PeerSpot reviewer
Apr 4, 2022
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.