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DataRobot
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DataRobot

Overview
Synopsis

DataRobot offers a machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.

Category

Predictive Analytics Software

Features

Drag and drop dataset
Automatically built and evaluate 100s of models
Deploy Top models
Make predictions and get insights

License

Proprietary Software

Price

Contact for Pricing

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

DataRobot

Rating
Our Rating
User Rating
Ease of use
7.6
Features & Functionality
7.6
Advanced Features
7.6
Integration
7.6
Customer Support
7.6
Performance
7.6
Training
Implementation
Renew & Recommend
Bottom Line

The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations and tuning parameters to deliver the best models for your dataset and prediction target

7.6
Our Rating
User Rating
You have rated this

DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time. DataRobot offers a machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000’s of models in R, Python, Spark MLlib, H2O and other open source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations and tuning parameters to deliver the best models for the dataset and prediction target. Now that machine learning impacts an ever-increasing number of business processes, it is no longer optional to treat it as a developer’s tool with minimal security, privacy and business continuity safeguards. In fact, it is critical that a platform for building and deploying models is hardened, can be trusted and integrates well with the ecosystem of technologies within an organization. Among the features that make DataRobot truly enterprise grade are: “four nines” of availability (99.99%), a distributed and self-healing architecture, seamless integration with enterprise security technologies, Hadoop cluster plug-and-play, multiple popular database certifications, data prep, ETL and visualization tools. DataRobot can run on the Hadoop cluster to bring built-in, well-integrated machine learning automation to the Hadoop stack. Using Spark for large-scale data processing, DataRobot is certified compliant for data security and management. This means that DataRobot machine learning data objects and operations are visible to, and under the control of, Hadoop management processes and policies. Building a modeling factory or a highly scalable real-time application, DataRobot allows true industrialization of machine learning. With the DataRobot API, create, explore and refresh 100s or even 1000s of models with just a few lines of scripting code.

DataRobot

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Ease of use
Features & Functionality
Advanced Features
Integration
Customer Support
Performance
Training
Implementation
Renew & Recommend

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