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

Avinash G.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2024

Really like it fantastic

Likeliness to Recommend

10 /10

What differentiates DataRobot AI Platform from other similar products?

It's provides Various services for integration the models on platform

What is your favorite aspect of this product?

The deployment part of the model in workflow I really like it easy to use

What do you dislike most about this product?

Nothing dislike but some pricing is High but I'll prefer and go for it

What recommendations would you give to someone considering this product?

Really like it I'll suggest to all my colleagues

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

Rajat S.

Role: Consultant
Industry: Healthcare
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jan 2024

Great product highly efficient

Likeliness to Recommend

8 /10

What differentiates DataRobot AI Platform from other similar products?

Have not used any other platform for auto ML but data robot is efficient.

What is your favorite aspect of this product?

Full end to end project handling

What do you dislike most about this product?

Connecting it with data bases and visitation of final results on dashboard.

What recommendations would you give to someone considering this product?

Highly efficient and to the point full project handling software.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Shantanu B.

Role: Operations
Industry: Retail
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Apr 2023

Easy and Improved Model Interpretability

Likeliness to Recommend

9 /10

What differentiates DataRobot AI Platform from other similar products?

Improved Model Interpretability: Improved model interpretability features would allow users to better understand how models arrive at their predictions and decisions, which is critical for regulatory compliance and building trust in AI systems. Automated Feature Engineering: Automated feature engineering capabilities would enable users to automatically generate and select features, which could help reduce the time and resources required to build accurate models.

What is your favorite aspect of this product?

DataRobot AI Cloud already allows multiple users to work on projects, but it could benefit from more advanced collaboration features such as version control, commenting, and task assignment. Enhanced data visualization capabilities: Although DataRobot AI Cloud provides visualizations for data exploration and model performance, there is always room for improvement. Adding more advanced visualization options and customization features could help users gain deeper insights from their data.

What do you dislike most about this product?

While DataRobot AI Cloud already integrates with a variety of data sources, expanding the list of supported data sources didn't help users access more diverse and relevant data. While working with more advanced automation and optimization, adding more advanced optimization and automation features Didn't help users to save time and improve model performance.

What recommendations would you give to someone considering this product?

It would be great to have more transparency and interpretability in the AI models generated by DataRobot AI Cloud. Users could benefit from features that allow them to understand the decision-making process of the models. While DataRobot AI Cloud already supports a wide range of data sources, it would be useful to see it integrate with more platforms, such as social media or IoT devices, to enable users to leverage these data sources for their AI models.

Pros

Acts with Integrity
Helps Innovate
Reliable
Enables Productivity

Cons

Less Caring
Under Delivered

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

Avinash G.

Really like it fantastic

Likeliness to Recommend

Pros

Rajat S.

Great product highly efficient

Likeliness to Recommend

Pros

Shantanu B.

Easy and Improved Model Interpretability

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