Select the RAM and CPU needed for any session, run, scheduled job, or API. Virtual public cloud users can take advantage of GPU-optimized options and turn on hardware when needed, effectively controlling costs.
From the admin dashboard, manage and scale the pool of servers that make up the core application. Resize your environments as needs change to control costs, all with zero downtime.
Orchestrate big data analysis in the platform by connecting to Hadoop clusters with Spark, Hive, and other data lake tools.
Scale and standardize data science how you want. You have the option to install the platform in your data center or on Amazon Web Services, Microsoft Azure, or Google Cloud.
Stay on top of security-related events in the platform with logs from user created and core application containers.
Check version status, read release notes, and choose to manually or automatically install updates. Upgrade your team to the latest stable release in seconds.
All services that run the platform are deployed in your architecture. The platform can live in your on-premises data center or behind a virtual private network in your cloud.
Assign admin, standard, or read-only roles to users or teams. Roles can be designated across the platform or for individual projects.
Keep database credentials or other passwords in encrypted storage and grant access to end users as needed. Access credentials as environment variables in any analysis to prevent the storage and sharing of database passwords in plain text.
Access audit logs for key events through an API or in the admin dashboard to see who is using the platform and how often.
Turn off Internet access to and from the platform to ensure the security of sensitive data. Maintain full control over traffic to the core app and all worker nodes.
Eliminate the need to support multiple identity management systems by designating access using an LDAP or similar service.
Influence decision making across your organization. Easily convert content from Jupyter notebooks, Markdown, or data visualizations into shareable reports.
Group code and outputs intuitively into projects to make work more visible and collaborative.
Use the activity feed to browse historical runs and deployments, including logs, code versions, and more.
Get information on runs, outputs, errors, and system-wide events instantly via email, chat, and in-product notifications.