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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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
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
- Reliable
- Security Protects
Cons
- Under Delivered
Emotional Footprint
How to Read
Positive
Neutral
Negative
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
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
Get Started
Notebook Experience
Bias and Fairness
Geospatial Visualization
Text Visualization
Deployments
Prediction Explanation
Decision Flow
App Builder
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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
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Harmoney + Snowflake + DataRobot
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
Mohd K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Automating Your Way to Machine Learning
Likeliness to Recommend
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
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
