Work how you prefer. In the DataScience.com Platform, you can launch sessions in Jupyter, RStudio, and other tools, connect to your git repositories and databases of choice, and code in your preferred language.
Forget proprietary solutions. Use the tools and languages you already love.
Track project lineage and interact with branches of your code repository.
Integrate data management tools and connect to database providers.
Don’t build a new environment for every analysis. Select from our curated environments powered by Docker or launch a custom one created by your platform administrator or IT team.
Work in standardized environments equipped with the right tools.
Select the resource size needed for your specific analysis.
Monitor and control access to sensitive data and code.
Don’t let hard work go to waste. Data science projects in the platform are sharable, scalable, and interactive, so it’s easy to make a big impact across every team and business process.
Organize work into projects to share with your team.
Track project changes, share code, and monitor results.
Publish reports, power dashboards, and build apps.
Install the platform in your physical data center.
Deploy the platform in your virtual private cloud.