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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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Real user data aggregated to summarize the product performance and customer experience.
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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.
87 Likeliness to Recommend
1
Since last award
93 Plan to Renew
76 Satisfaction of Cost Relative to Value
1
Since last award
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.
+87 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?
Pros
- Helps Innovate
- Respectful
- Security Protects
- Reliable
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Algorithm Recommendation
Model Training
Ensembling
Openness and Flexibility
Algorithm Diversity
Model Tuning
Explainability
Pre-Packaged AI/ML Services
Performance and Scalability
Feature Engineering
Data Labeling
Vendor Capability Ratings
Business Value Created
Quality of Features
Ease of IT Administration
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 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
DataRobot AI Platform | Welcome to the Era of Value-Driven AI
DataRobot AI Platform | High-level Overview from our Chief Product Officer
Get Started
Notebook Experience
Bias and Fairness
Geospatial Visualization
Text Visualization
Deployments
Prediction Explanation
Decision Flow
App Builder
DataRobot AI Platform Reviews
Siddharth C.
- Role: Consultant
- Industry: Manufacturing
- Involvement: IT Development, Integration, and Administration
Submitted May 2024
High efficiency at high cost
Likeliness to Recommend
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
Ketan S.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
Good but a bit pricey and lacks many features
Likeliness to Recommend
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
Kosisochukwu M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2025
A powerful platform for faster ML workflows
Likeliness to Recommend
What differentiates DataRobot AI Platform from other similar products?
What makes DataRobot stand out for me is how it brings a lot of advanced machine-learning capabilities together in one place. Instead of stitching multiple tools together, the platform handles data prep, model building, tuning, and monitoring in a single workflow, which helps speed things up.
What is your favorite aspect of this product?
What makes DataRobot stand out for me is how it brings a lot of advanced machine-learning capabilities together in one place. Instead of stitching multiple tools together, the platform handles data prep, model building, tuning, and monitoring in a single workflow, which helps speed things up.
What do you dislike most about this product?
The automated modeling is my favorite part. It saves a huge amount of time by testing different algorithms and showing which ones perform best, without needing to build everything manually.
What recommendations would you give to someone considering this product?
Start small and build up. Once you get the hang of the automated modeling and monitoring tools, the rest of the platform becomes much easier to use. It really pays off to spend time learning the flow early on.
Pros
- Helps Innovate
- Continually Improving Product
- Enables Productivity
- Inspires Innovation
