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DataRobot

Lets you accelerate your AI success today with cutting-edge machine learning and the team you have in place
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What is DataRobot?

It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation.
DataRobot is a tool in the Machine Learning Tools category of a tech stack.
DataRobot is an open source tool with GitHub stars and GitHub forks. Here’s a link to DataRobot's open source repository on GitHub

Who uses DataRobot?

Companies

Developers
7 developers on StackShare have stated that they use DataRobot.

DataRobot Integrations

Tableau, Snowflake, Looker, Cloudera Enterprise, and Qlik Sense are some of the popular tools that integrate with DataRobot. Here's a list of all 11 tools that integrate with DataRobot.

DataRobot's Features

  • Automated machine learning
  • Data accuracy
  • Speed
  • Ease of use
  • Ecosystem of algorithms
  • Data preparation
  • ETL and visualization tools
  • Integration with enterprise security technologies
  • Numerous database certifications
  • Distributed and self-healing architecture
  • Hadoop cluster plug and play

DataRobot Alternatives & Comparisons

What are some alternatives to DataRobot?
H2O
H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
Databricks
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
BigML
BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.
RapidMiner
It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
SAS
It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.
See all alternatives

DataRobot's Followers
24 developers follow DataRobot to keep up with related blogs and decisions.