DataRobot, Inc.

DataRobot AI Platform

7.6 /10

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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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.

87 Likeliness to Recommend

2
Since last award

95 Plan to Renew

5
Since last award

79 Satisfaction of Cost Relative to Value

3
Since last award

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Emotional Footprint Overview

+78 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

15% Neutral

85% Positive

Pros

Helps Innovate
Respectful
Reliable
Security Protects

Cons

Under Delivered

Feature Ratings

Average 80

Model Training

Algorithm Recommendation

Ensembling

Algorithm Diversity

Performance and Scalability

Pre-Packaged AI/ML Services

Model Tuning

Openness and Flexibility

Explainability

Model Monitoring and Management

Data Labeling

Vendor Capability Ratings

Average 80

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Breadth of Features

Ease of IT Administration

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

Nathan Patrick T.

Role: C-Level
Industry: Healthcare
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Feb 2022

User-Friendly Auto-ML Platform with Best Support

Likeliness to Recommend

10 /10

What differentiates DataRobot AI Platform from other similar products?

Although the platform can be used by real data scientists, the DataRobot platform provides guardrails and guided model training which allows non-data scientists to train, test, and deploy models.

What is your favorite aspect of this product?

The model comparisons on the leaderboard and model explainability features are top-notch. Their customer support team is second-to-none.

What do you dislike most about this product?

The time-series UI can use a bit of work to make the process easier for the end-user.

What recommendations would you give to someone considering this product?

Do a proof-of-concept with your data team. It highlights the reasons why DataRobot is a leader in the auto-ML space.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Archana S.

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

Validated Review

Verified Reviewer

Submitted Feb 2022

Stability and Flexibility,data management tool.

Likeliness to Recommend

10 /10

What differentiates DataRobot AI Platform from other similar products?

What i really love about DataRobot is that from data preparation through value tracking, it equips us with enterprise-grade stability and scalability that we've always counted on. Puts machine learning models into production with just few lines of code,regardless of whether we need real-time predictions, batch deployments or scoring on Hadoop.

What is your favorite aspect of this product?

Partners with the leading automated learning where by we are able to find opportunities to apply AI,and create a culture that embraces data-driven decision making. Its easy-to-use, and has a very user-friendly Interface that is easy to customize and navigate through.

What do you dislike most about this product?

Limited applications in probabilistic and neural network applications for Customer lifetime validity in production.

What recommendations would you give to someone considering this product?

Its a phenomenal tool to work with,meanwhile halla their sales team to get live demos and get a free trial. Pressure- free sales. Great possibilities lies ahead hurry up when they last.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Ben D.

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

Validated Review

Verified Reviewer

Submitted Feb 2022

Easy to use but allows for flexibility!

Likeliness to Recommend

9 /10

What differentiates DataRobot AI Platform from other similar products?

It provides automated solutions for many parts of the ML process while allowing for quick iteration and flexibility.

What is your favorite aspect of this product?

The transparency of the models allows us to use the product for many different types of projects.

What do you dislike most about this product?

The connection between Auto ML and DataPrep can sometimes be a bit clunky.

What recommendations would you give to someone considering this product?

I would recommend having a good proof of concept project to start with so that you can show business value quickly.

Pros

Helps Innovate
Performance Enhancing
Enables Productivity
Trustworthy

DataRobot AI Platform

What is DataRobot AI Platform?

Company Details

Need Assistance?

Awards & Recognition

DataRobot AI Platform Ratings

87 Likeliness to Recommend

2 Since last award

95 Plan to Renew

5 Since last award

79 Satisfaction of Cost Relative to Value

3 Since last award

Emotional Footprint Overview

+78 Net Emotional Footprint

How much do users love DataRobot AI Platform?

Pros

Cons

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

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.

Ensembling 'Ability to combine ML models for best results.

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

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.

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

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

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

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.

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.

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

Nathan Patrick T.

User-Friendly Auto-ML Platform with Best Support

Likeliness to Recommend

Pros

Archana S.

Stability and Flexibility,data management tool.

Likeliness to Recommend

Pros

Ben D.

Easy to use but allows for flexibility!

Likeliness to Recommend

Pros

Most Popular DataRobot AI Platform Comparisons

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Feature Ratings

Model Training

Algorithm Recommendation

Ensembling

Algorithm Diversity

Performance and Scalability

Pre-Packaged AI/ML Services

Model Tuning

Openness and Flexibility

Explainability

Model Monitoring and Management

Data Labeling

Vendor Capability Ratings

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Breadth of Features

Ease of IT Administration

Business Value Created

Availability and Quality of Training

Ease of Data Integration

Vendor Support

Product Strategy and Rate of Improvement

Ease of Customization