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.
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
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?
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
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
DataRobot AI Platform Screenshots
DataRobot AI Platform Downloads
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
Get Started
Notebook Experience
Bias and Fairness
Geospatial Visualization
Text Visualization
Deployments
Prediction Explanation
Decision Flow
App Builder
DataRobot AI Platform Reviews
Nathan Patrick T.
- Role: C-Level
- Industry: Healthcare
- Involvement: IT Leader or Manager
Submitted Feb 2022
User-Friendly Auto-ML Platform with Best Support
Likeliness to Recommend
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
Submitted Feb 2022
Stability and Flexibility,data management tool.
Likeliness to Recommend
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
Submitted Feb 2022
Easy to use but allows for flexibility!
Likeliness to Recommend
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