In Teradata architecture, what is shared among nodes?

In Teradata architecture, nodes are designed for high performance and parallel processing, and they function independently while contributing to a unified system. The accurate choice reflects the nature of the architecture where each node operates with its own resources. Nodes in Teradata do not share data storage, application licenses, or user permissions. This design enhances flexibility and scalability, allowing various nodes to perform tasks without being hindered by shared resources.

The separation of resources means that data is distributed across the nodes, ensuring that each has its own portion of data to manage and process. This distributed nature of data storage underpins the system's ability to scale and efficiently process large amounts of data concurrently, leveraging Teradata's MPP (Massively Parallel Processing) capabilities.

In summary, the architecture's independence among nodes results in no sharing of resources, maintaining an efficient operational environment.