The Hub For Enterprise Machine Learning And Analytics. Improved.
Dataiku is the leading end-to-end platform for data teams. Built on top of the latest open source data science solutions and with a visual user interface, Dataiku fosters collaboration among all types of users, from coders to non-coders alike.
The latest release from Dataiku elaborates on its core elements: point-and-click data prep and analysis, efficient and collaborative data science, and easy deployment of models to production so that organizations of any size can propagate and scale their analytical capabilities.
Versatile Features for Versatile Teams
As the size of teams using Dataiku has grown into the dozens and even hundreds, the challenge of scaling analytics capabilities requires a versatile hub to connect different team members and technologies to each other. Dataiku 4.1 was built with these teams in mind.
Some key features are:
Live Model Competitions: Watch in real time as different machine learning models compete, and save time and resources by picking winners and losers before training is complete.
New Point-and-Click Data Prep: Create pivot tables, remove duplicates, sort, and more -- on the biggest datasets -- without writing a single line of code.
Reproducible Environments: Take a snapshot of the packages and languages used for each project so you don't have to worry about upgrades impacting existing and deployed projects.
Advanced Tools for Coders: Use RShiny and Bokeh to create engaging visualizations in dashboards, and take advantage of all the features of Python 3.
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