DataRobot is an AI platform designed to make data science accessible for businesses of all sizes. It automates the process of building, deploying, and managing machine learning models. This allows companies to uncover insights from their data and make better decisions, even without extensive data science expertise. DataRobot is particularly known for its ability to build accurate predictive models and for its user-friendly platform that simplifies the complexities of AI.
Who is DataRobot best for
DataRobot is an AI platform that automates building, deploying, and managing machine learning models. Ideal for enterprises looking to leverage AI without extensive data science expertise, DataRobot simplifies complex AI tasks. Users praise its automated features and ease of model deployment, while some note the high cost and limited customization options.
Best fit for enterprise companies.
Suitable for various industries.
DataRobot features
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DataRobot supports deploying models to various cloud environments like AWS and Google Cloud.
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DataRobot offers data cleaning, transformation, and feature engineering tools.
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DataRobot allows deploying models built with DataRobot and external models.
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DataRobot automates insights and simplifies analysis with machine learning and AI.
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DataRobot provides comprehensive tools and frameworks for building and training AI models.
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DataRobot supports monitoring LLM performance, including latency, throughput, and errors.
DataRobot reviews
We've summarised 26 DataRobot reviews (DataRobot G2 reviews) and
summarised the main points below.
Pros of DataRobot
Automates data preprocessing, feature engineering, model selection, and hyperparameter tuning.
Easy to deploy and manage machine learning models.
Simplifies complex AI tasks.
Provides robust API documentation and good integrations.
Useful for a variety of applications including predictive analytics, time series analysis, and robotics.
Cons of DataRobot
High cost, especially for startups.
Limited customization options.
Occasional performance issues and hanging for heavy models.
Difficult to understand documentation and limited customer support.
Some outdated algorithms in the marketplace.
DataRobot alternatives
Altair RapidMiner
Better fit for Finance, Banking & Insurance, E-commerce, Retail, Education, Software, IT & Telecommunications, and Professional Services. A good DataRobot alternative with easier use, though less reliable.
Better for smaller businesses. Has stronger website traffic growth momentum. Offers R integration and edge deployment. A DataRobot competitor and alternative.
Better suited for users seeking seamless integration with Qlik Sense. Has more positive pricing sentiment and is growing faster. More user reviews suggest a slightly better user experience. A DataRobot alternative.
Better for users with coding experience seeking advanced statistical analysis, simulations, and algorithm development. Geared towards academic and scientific use cases. Has broader industry applicability, higher ratings, and is growing faster. More expensive and has a steeper learning curve.
Better for securing and monitoring AI systems. More user-friendly, with excellent customer support. A DataRobot alternative focused on AI reliability for chatbots.
More suitable for enterprise companies. Has grown slower and has lower ratings. Users find the interface intuitive but dislike the high cost and limited model creation options. A DataRobot alternative.
DataRobot is an AI platform that automates the building, deployment, and management of machine learning models. It empowers businesses to gain insights from data and improve decision-making, even without extensive data science expertise. DataRobot excels in building accurate predictive models and offers a user-friendly platform.
How does DataRobot integrate with other tools?
How does DataRobot integrate with other tools?
DataRobot integrates with various cloud platforms like AWS and Google Cloud, enabling seamless model deployment. It also offers robust API documentation for connecting with other tools, facilitating streamlined workflows for diverse applications.
What the main competitors of DataRobot?
What the main competitors of DataRobot?
DataRobot's main competitors include Altair RapidMiner, H2O Driverless AI, Qlik AutoML, MATLAB, Aporia, and SAS Visual Data Mining and Machine Learning. These alternatives offer similar AI and machine learning capabilities for businesses seeking data-driven insights.
Is DataRobot legit?
Is DataRobot legit?
DataRobot is a legitimate AI platform. It automates machine learning model building, deployment, and management, making data science accessible. User reviews highlight automated features and ease of model deployment but note the high cost and limited customization.
How much does DataRobot cost?
How much does DataRobot cost?
DataRobot doesn't publicly disclose its pricing. Contact their sales team for a customized quote based on your specific needs and to determine if DataRobot is worth the investment for your business.
Is DataRobot customer service good?
Is DataRobot customer service good?
Customer support from DataRobot appears to be limited, with some users finding certain aspects difficult to grasp. However, they do eventually address customer issues and create tickets for specific problems.
Reviewed by
MK
Michal Kaczor
CEO at Gralio
Michal has worked at startups for many years and writes about topics relating to software selection and IT
management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs
of any business and find solutions to its problems.
TT
Tymon Terlikiewicz
CTO at Gralio
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech
department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX,
HR, Payroll, Marketing automation and various developer tools.