Instant access to a variety of frameworks, toolkits, and libraries that are pre-installed and ready to be deployed securely across any infrastructure.
Easily and securely connect to a variety of enterprise data sources to enable collaboration and improve deployment times.
Deep integrations between Notebooks and data service technologies such as Spark and TensorFlow to accelerate model training and improve the velocity of experiments.
How Data Scientists Benefit
How DevOps Benefit
How Line-of-Business Owners Benefit
Features and Benefits
Automation platform with built-in lifecycle and operational expertise.
High Density Services
Increased utilization by deploying multiple data and analytics services on the same infrastructure without requiring virtualization.
Ensure data and analytics services health meets the organization’s requirements in the event of a malfunction or provider outage.
Performance and Health Monitoring
Responsive metrics that integrate with an organization's existing enterprise or cloud SIEM and monitoring systems, providing insight into performance and data health.
Security and Encryption
Increased security with automatic configuration of TLS encryption for communication between services. Connect and scale new services through automated service discovery.
Safeguard data and analytics service network isolation and control through policy-driven software-defined networking.