Allows users to create custom machines to meet specific needs and optimize performance.

Provides interface for building custom machines and analytics.

Supports the necessary operating system and linux distributions for custom machines.

Allows transferring data and virtual machines during adoption and maintenance.

Provides management tools for data storage, database configuration, and scaling.

Lets users analyze storage, performance, and connectivity.

Supports for managing different types of databases and integration methods.

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Automates statistical analysis of data and identifies trends and opportunities to improve efficiency.