This content is currently locked.

Your current McLean & Company subscription does not include access to this content. Contact your account representative to gain access to Premium SoftwareReviews.

Contact Your Representative

Or Call Us:
1-877-281-0480 (US/CAN) or
+1-519-936-2659 (International)

DataRobot, Inc.

DataRobot AI Platform

Composite Score

7.7 /10

CX Score

7.8 /10

35 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

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

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

Filter By

4 Top Rated Capabilities

6 Top Rated Features

Latest Award, 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

96 Plan to Renew

2
Since last award

80 Satisfaction of Cost Relative to Value

1
Since last award

{y}

{name}

Emotional Footprint Overview

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.

+82 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

12% Neutral

88% Positive

Pros

Helps Innovate
Respectful
Security Protects
Reliable

Feature Ratings

Average 78

Ensembling

Model Training

Algorithm Recommendation

Performance and Scalability

Pre-Packaged AI/ML Services

Algorithm Diversity

Openness and Flexibility

Model Tuning

Explainability

Model Monitoring and Management

Data Labeling

Vendor Capability Ratings

Average 79

Breadth of Features

Ease of Implementation

Ease of IT Administration

Usability and Intuitiveness

Quality of Features

Business Value Created

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

Role: Industry Specific Role
Industry: Manufacturing
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Mar 2022

Easy to use, gives great insight to utilize

Likeliness to Recommend

8 /10

Pros

Enables Productivity
Continually Improving Product
Reliable
Performance Enhancing

Cons

Wastes Time
Less Efficient Service
Less Effective Service

Abdelrahman Z.

Role: Consultant
Industry: Consulting
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2022

Best Auto-ML tool on the market

Likeliness to Recommend

9 /10

What differentiates DataRobot AI Platform from other similar products?

Sleek Design Ease of use Easy to understand for all stakeholders Features availability

What is your favorite aspect of this product?

User Interface is the best on the market

What do you dislike most about this product?

Data Processing is very limited and data must be perfect prior

What recommendations would you give to someone considering this product?

Opens a lot of new possibilities, a bit pricy, but the leader in Auto-ML if you have the correct team, technology, and processes in place to support it.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Zozo E.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2022

Auto-ML Unicorn but needs more solid ETL

Likeliness to Recommend

10 /10

What differentiates DataRobot AI Platform from other similar products?

Best UI, easy to use for all stakeholders Scalable and robust Trustworthy platform, lots of documentation, clarity and transparency

What is your favorite aspect of this product?

Auto-ML for everyone

What do you dislike most about this product?

No ETL or adequate feature engineering, data has to be perfect before it is used in the platform. A bit pricey

What recommendations would you give to someone considering this product?

Best product on the market but make sure you have a DS team or at least a solid Analytics department to clean the data. You also need a solid data warehouse/data pipeline to make proper use of this tool.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Cons

Less Friendly Negotiation
Vendor's Interest First
Less Generous

How We Deliver

DataRobot AI Platform

What is DataRobot AI Platform?

Company Details

Need Assistance?

Awards & Recognition

DataRobot AI Platform Ratings

86 Likeliness to Recommend

96 Plan to Renew

2 Since last award

80 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+82 Net Emotional Footprint

How much do users love DataRobot AI Platform?

Pros

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

Ensembling 'Ability to combine ML models for best results.

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

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

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

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

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

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

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

Explainability Ability to explain/ visualize the model.

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

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

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

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.

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.

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

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.

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.

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.

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

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

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

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

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

DataRobot AI Platform Reviews

Easy to use, gives great insight to utilize

Likeliness to Recommend

Pros

Cons

Abdelrahman Z.

Best Auto-ML tool on the market

Likeliness to Recommend

Pros

Zozo E.

Auto-ML Unicorn but needs more solid ETL

Likeliness to Recommend

Pros

Cons

Most Popular DataRobot AI Platform Comparisons

Google Cloud Vertex AI

MathWorks MATLAB

AWS Machine Learning

Microsoft Azure Machine Learning

2
Since last award

1
Since last award

Feature Ratings

Ensembling

Model Training

Algorithm Recommendation

Performance and Scalability

Pre-Packaged AI/ML Services

Algorithm Diversity

Openness and Flexibility

Model Tuning

Explainability

Model Monitoring and Management

Data Labeling

Vendor Capability Ratings

Breadth of Features

Ease of Implementation

Ease of IT Administration

Usability and Intuitiveness

Quality of Features

Business Value Created

Availability and Quality of Training

Ease of Data Integration

Vendor Support

Product Strategy and Rate of Improvement

Ease of Customization