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DataRobot, Inc.

DataRobot AI Platform

Composite Score

7.8 /10

CX Score

7.9 /10

42 Reviews Write a Review

What is DataRobot AI Platform?

The DataRobot Enterprise AI platform includes two independent but fully integrable machine learning model building products, and each can be deployed in multiple ways to match your business needs and IT requirements. All configurations feature a constantly expanding set of diverse, best-in-class algorithms from R, Python, H2O, Spark, and other sources, giving you the best set of tools for your machine learning and AI projects.

Company Details

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Awards & Recognition

DataRobot AI Platform won the following awards in the Machine Learning Platforms category

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4 Top Rated Capabilities

6 Top Rated Features

2024

8 Top Rated Capabilities

10 Top Rated Features

2023

4 Top Rated Capabilities

8 Top Rated Features

2022

DataRobot AI Platform Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on DataRobot AI Platform.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

86 Likeliness to Recommend

93 Plan to Renew

Down 2
Since last award

77 Satisfaction of Cost Relative to Value

Down 2
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 92%
Negotiation and Contract:: 73%
Conflict Resolution:: 86%
Strategy & Innovation:: 90%
Service Experience:: 86%

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+85 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love DataRobot AI Platform?

0% Negative

13% Neutral

87% Positive

Pros

Helps Innovate
Reliable
Respectful
Security Protects

Feature Ratings

Average 80

Algorithm Recommendation

Model Training

Openness and Flexibility

Ensembling

Algorithm Diversity

Model Tuning

Pre-Packaged AI/ML Services

Performance and Scalability

Explainability

Data Labeling

Model Monitoring and Management

Vendor Capability Ratings

Average 80

Business Value Created

Ease of IT Administration

Quality of Features

Ease of Implementation

Usability and Intuitiveness

Breadth of Features

Availability and Quality of Training

Ease of Data Integration

Vendor Support

Product Strategy and Rate of Improvement

Ease of Customization

DataRobot AI Platform Screenshots

DataRobot AI Platform Downloads

DataRobot-for-Generative-AI-Solution-Brief

DataRobot AI Platform Videos

DataRobot AI Platform Reviews

Daniel J.

Role: Information Technology
Industry: Healthcare
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Nov 2022

AI / ML Product Accelerator

Likeliness to Recommend

10 /10

What differentiates DataRobot AI Platform from other similar products?

End to End AI / ML model development to model deployment

What is your favorite aspect of this product?

Model deployment. Can deploy models within minutes.

What do you dislike most about this product?

Column limitations on data imports

What recommendations would you give to someone considering this product?

Understand the gaps in your organization for ML model delivery and then review how the product can provide lift to your organization

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Mohammad N.

Role: Information Technology
Industry: Food and Beverage
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Nov 2022

Lets few people do a lot

Likeliness to Recommend

8 /10

What differentiates DataRobot AI Platform from other similar products?

Low-frill, high impact.

What is your favorite aspect of this product?

Lets us train and compare dozens of models in hours.

What do you dislike most about this product?

Feature impact etc. can be a little difficult to decipher at times. Model outputs always overwrite previously output results unless you customize. Would've been nice to have plug-and-play append-only capabilities.

What recommendations would you give to someone considering this product?

This is a great tool for rapidly training and testing models. That said, the tool can be misused by people who don't understand the underlying math/stats. Keep the number of users limited to those people at your org who already know how to build models, which assumptions to vet, etc.

Pros

Performance Enhancing
Enables Productivity
Trustworthy
Effective Service

Role: C-Level
Industry: Finance
Involvement: End User of Application

Validated Review

Anonymous Reviewer

Submitted Nov 2022

Powerful tool

Likeliness to Recommend

9 /10

Pros

Continually Improving Product
Respectful
Helps Innovate
Reliable

Latest Research

DataRobot AI Platform

What is DataRobot AI Platform?

Company Details

Need Assistance?

Awards & Recognition

DataRobot AI Platform Ratings

86 Likeliness to Recommend

93 Plan to Renew

Down 2 Since last award

77 Satisfaction of Cost Relative to Value

Down 2 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+85 Net Emotional Footprint

How much do users love DataRobot AI Platform?

Chart

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Model Training Ability to train a model with a range of data sets that you provide.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Ensembling 'Ability to combine ML models for best results.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Model Tuning Ability to fine-tune models based on monitoring feedback within the platform.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Explainability Ability to explain/ visualize the model.

Data Labeling Ability to annotate/ label data to create a training data set.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

DataRobot AI Platform Screenshots

Get Started

Notebook Experience

Bias and Fairness

Geospatial Visualization

Text Visualization

Deployments

Prediction Explanation

Decision Flow

App Builder

DataRobot AI Platform Downloads

DataRobot-for-Generative-AI-Solution-Brief

DataRobot AI Platform Videos

Democratised Data Science at OYAK Cement - The Impact of Sustainable AI solutions in Manufacturing

Empowering Kroger/84.51's Data Scientists with DataRobot

Harmoney + Snowflake + DataRobot

End-to-end Generative AI Applications with DataRobot | Develop, Deploy, Monitor and Maintain

DataRobot AI Platform Demo 2023 | End-to-end Workflow | How DataRobot Works

Freddie Mac More than Doubles Analytics Productivity with AI | MEDA Team

DataRobot AI Platform | Welcome to the Era of Value-Driven AI

DataRobot AI Platform | High-level Overview from our Chief Product Officer

DataRobot AI Platform Reviews

Daniel J.

AI / ML Product Accelerator

Likeliness to Recommend

Pros

Mohammad N.

Lets few people do a lot

Likeliness to Recommend

Pros

Powerful tool

Likeliness to Recommend

Pros

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Since last award

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Feature Ratings

Algorithm Recommendation

Model Training

Openness and Flexibility

Ensembling

Algorithm Diversity

Model Tuning

Pre-Packaged AI/ML Services

Performance and Scalability

Explainability

Data Labeling

Model Monitoring and Management

Vendor Capability Ratings

Business Value Created

Ease of IT Administration

Quality of Features

Ease of Implementation

Usability and Intuitiveness

Breadth of Features

Availability and Quality of Training

Ease of Data Integration

Vendor Support

Product Strategy and Rate of Improvement

Ease of Customization