DataRobot AI Platform Customer Reviews 2024

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.

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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

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

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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

86

Model Training

86

Algorithm Recommendation

85

Performance and Scalability

83

Pre-Packaged AI/ML Services

83

Algorithm Diversity

82

Openness and Flexibility

82

Model Tuning

80

Explainability

79

Model Monitoring and Management

78

Data Labeling

77

Vendor Capability Ratings

Average 79

Breadth of Features

81

Ease of Implementation

81

Ease of IT Administration

81

Usability and Intuitiveness

81

Quality of Features

81

Business Value Created

81

Availability and Quality of Training

79

Ease of Data Integration

78

Vendor Support

76

Product Strategy and Rate of Improvement

75

Ease of Customization

73

DataRobot AI Platform Screenshots

DataRobot AI Platform Downloads

DataRobot-for-Generative-AI-Solution-Brief

DataRobot AI Platform Videos

DataRobot AI Platform Reviews

Siddharth C.

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

Validated Review

Verified Reviewer

Submitted May 2024

High efficiency at high cost

Likeliness to Recommend

10 /10

What differentiates DataRobot AI Platform from other similar products?

Data robot is all in one tool where it does everything from data cleaning to feature engineering to model selection based on its analysis of data. Other similar products do not provide this level of automatic processing without the user giving inputs or other manual tasks, where as Data robot does it all by itself. Its a low code platform where minimal coding experience is needed and even user base with basic knowledge of data science can get good results.

What is your favorite aspect of this product?

Providing modes based on our priority level of tasks. It has clusters of models it can implement based on necessity to provide faster results and also in depth analysis with over 100+ models in its arsenal.

What do you dislike most about this product?

Lack of manual coding notebooks tools inclusion in between steps or to replace certain steps in its work graph for python or R

What recommendations would you give to someone considering this product?

The product is good if you want to start Machine learning and Ai at get go without needing much time to train your employees on these skills and gets you good results than seasoned data professionals in cases.

Pros

Efficient Service
Inspires Innovation
Saves Time
Generous Negotitation

Cons

Under Delivered

Mohd K.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

Automating Your Way to Machine Learning

Likeliness to Recommend

9 /10

What differentiates DataRobot AI Platform from other similar products?

Automated Machine Learning (AutoML): DataRobot automates many machine learning tasks, allowing even non-experts to build and deploy models. User-Friendly Interface: The platform is designed to be user-friendly, with drag-and-drop functionality and visual tools. Rapid Deployment: DataRobot emphasizes quick model building and deployment, enabling faster time-to-value.

What is your favorite aspect of this product?

DataRobot is its focus on democratizing AI. By offering automation and a user-friendly interface, DataRobot allows a wider range of users, including those without extensive data science expertise, to leverage the power of machine learning

What do you dislike most about this product?

DataRobot provides some explanation for model outputs, more advanced XAI tools could be valuable. Deeper insights into how models arrive at predictions would enhance user trust and potentially lead to better model refinement.

What recommendations would you give to someone considering this product?

DataRobot is a strong option for businesses seeking user-friendly automation in machine learning. Carefully consider your needs and budget, and compare it with alternative platforms before making a decision.

Pros

Reliable
Effective Service
Fair
Generous Negotitation

Ketan S.

Role: Information Technology
Industry: Engineering
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2024

Good but a bit pricey and lacks many features

Likeliness to Recommend

4 /10

What differentiates DataRobot AI Platform from other similar products?

1. Easy of set up and use 2. Automatic model deployment 3. Broad range of ML services Good community

What is your favorite aspect of this product?

I have majorly used the Automatic Machine learning tool specifically the AutoML product. The service streamline the process of building, training, and deploying machine learning models, saving users time and effort.

What do you dislike most about this product?

Cost and it lacks many of ML services like data labelling, model monitoring.

What recommendations would you give to someone considering this product?

It is easy to setup and play. If your work can be completed using the services the product provides then definitely go for it.

Pros

Helps Innovate
Reliable
Efficient Service
Respectful

Cons

Slower Product Innovation
Less Performance Enhancing
Less Productive

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

Siddharth C.

High efficiency at high cost

Likeliness to Recommend

Pros

Cons

Mohd K.

Automating Your Way to Machine Learning

Likeliness to Recommend

Pros

Ketan S.

Good but a bit pricey and lacks many features

Likeliness to Recommend

Pros

Cons

Most Popular DataRobot AI Platform Comparisons

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2
Since last award

1
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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