Last Updated
Overview
DataRobot is an AI-powered platform that automates machine learning and artificial intelligence (AI) model deployment. It simplifies AI adoption for businesses by providing automated insights, integrations, and scalability. While advanced customization may require technical expertise, DataRobot streamlines AI workflows, making it a valuable tool for data-driven decision-making.
Overall Rating
Based on 7 users reviews
4.4
Rating Distribution
Positive
100%
Neutral
0%
Negative
0%
Starting Price
Custom
DataRobot Specifications
- Predictive Capabilities
- Automation
- Self-service Dashboards
- Data Labeling Software
What Is DataRobot?
DataRobot is an enterprise platform that simplifies machine learning and AI model deployment. It helps businesses automate data analysis, build predictive models, and gain insights without requiring deep technical expertise. The platform supports end-to-end AI lifecycle management, ensuring scalability, security, and efficiency in AI-driven decision-making. With advanced automation, DataRobot allows organizations to accelerate AI adoption and maximize the value of their data.
DataRobot Pricing
DataRobot price is flexible and tailored to business needs, providing customized cost estimates for AI and machine learning solutions. It also provides a free trial, allowing you to explore its features and capabilities before making a commitment.
DataRobot Integrations
DataRobot integrates with various platforms to enhance AI and machine learning capabilities. Here are some of the major integrations:
- AWS
- Google Cloud
- Microsoft Azure
- Snowflake
- Databricks
- Tableau Software
- SAP
Who Is DataRobot Software For?
DataRobot is designed for businesses that want to simplify AI and machine learning without needing deep technical expertise. It helps organizations make smarter decisions, automate processes, and unlock valuable insights from their data. Companies across various industries trust DataRobot to improve efficiency and drive innovation.
Industries that use DataRobot include:
- Healthcare
- Financial services
- Manufacturing
- Energy
- Public sector
Is DataRobot Right for You?
DataRobot software is a smart choice for businesses looking for an AI-driven machine learning platform. With cloud accessibility, automation, and seamless integrations, it simplifies AI deployment and management. Many users appreciate its scalability, predictive analytics, and security. That’s why leading companies like Kroger, Lenovo, PNC, and USBank trust DataRobot for their AI needs.
Still unsure about DataRobot? Call our team at (661) 384-7070 for expert guidance!
DataRobot Features
Machine Learning Automation
DataRobot takes the complexity out of AI by automating key machine learning tasks like data preparation, model selection, and optimization. This makes it easier for businesses to build and deploy AI models without needing deep technical expertise.
Business Predictions
With advanced predictive analytics, DataRobot helps businesses anticipate trends, identify potential risks, and make data-driven decisions with confidence. It provides clear insights that support better planning and strategy.
AI-Driven Decision Making
The platform transforms raw data into meaningful recommendations, helping organizations improve operations, streamline workflows, and enhance decision-making with AI-powered intelligence.
Model Monitoring
DataRobot continuously tracks the performance of AI models, detecting changes and potential issues in real time. This ensures accuracy and reliability while allowing businesses to make adjustments as needed.
Cloud Scalability
Whether you need a small-scale solution or a large AI infrastructure, DataRobot offers flexible cloud and on-premises deployment options, growing with your business needs.
Tool Integration
DataRobot integrates effortlessly with enterprise platforms like AWS, Snowflake, and Microsoft Azure, making it easy to incorporate AI-driven insights into your existing business systems.
Pros And Cons of DataRobot
Pros
Automated machine learning streamlines model creation and deployment
Scalable AI solutions suitable for businesses of all sizes
Strong customer support for troubleshooting and guidance
Cons
Limited customization for advanced model tuning
Automated models may require additional adjustments to prevent overfitting
DataRobot Reviews
Total 7 reviews
4.4
All reviews are from verified customers
Rating Distribution
5
Stars43%
4
Stars57%
3
Stars0%
2
Stars0%
1
Stars0%
Share your experience
Mid Market, 500+ employees
“A solid tool for data science modeling”
Pros
It mainly helps with deploying and modeling ML models. The automated technology assists us in tasks like data preprocessing, feature engineering, selecting the best model and even fine-tuning hyperparameters. It is a real time saver and can handle large datasets, always picking the best model for our project.
Cons
It is quite expensive and does not the best as compared to IBM Watson. Sometimes it does not give us the best model, so we have to select it ourselves and customization options are pretty limited too.
Rating Distribution
Ease of use
9
Value for money
6
Customer Support
8
Functionality
8
Data Science, 51-100 employees
“Decent tool”
Pros
It has a lot of great features that have proven helpful for us such as automated feature engineering, training with multiple algorithms and automated comparisons.
Cons
There are only a few applications available for probabilistic. Plus I have noticed that they use neural networks when it comes to predicting Customer Lifetime Value.
Rating Distribution
Ease of use
7
Value for money
7
Customer Support
7
Functionality
5
Financial Services, 500+ employees
“Removes the need for dev”
Pros
Algorithmia has truly empowered our data scientists and R&D developers. One major challenge we faced was pushing code from development to production mainly because of the time spent containerizing code and the skills required to do so. This was especially tough when we were constantly iterating and releasing new versions. The ability to containerize without needing dev ops support is quite powerful.
Cons
Two major areas that need improvement are integration with Azure repos and better reporting for platform usage customized to business needs. We have both technical and business stakeholders and it is tough to communicate this effectively across teams. Also SAS is a widely used language in our field but Algorithmia does not support it yet.
Rating Distribution
Ease of use
9
Value for money
7
Customer Support
7
Functionality
7
Frequently Asked Questions
Who are the typical users of DataRobot?
DataRobot is used by data scientists, business analysts, and enterprises across industries like healthcare, finance, and manufacturing.
What level of support does DataRobot offer?
DataRobot provides customer support through email, chat, knowledge base, and a dedicated help center.
Does DataRobot offer an API?
Yes, DataRobot provides an API for seamless integration with other platforms.
What languages does DataRobot support?
DataRobot supports multiple languages, including English, Spanish, French, Japanese, Korean, and Portuguese.
Does DataRobot have a mobile app?
No, DataRobot does not currently offer a dedicated mobile app.
What other apps does DataRobot integrate with?
DataRobot integrates with platforms like AWS, Google Cloud, Microsoft Azure, and Snowflake.
What types of pricing plans does DataRobot offer?
DataRobot offers customized pricing based on business needs, with various subscription options. Get a personalized DataRobot cost quote today.