How does Aurora separate compute and storage, and why is this beneficial for scaling?

Question

Narendran Srinivasan · Accepted Answer

Aurora separates compute and storage by running compute (query processing) and storage (data) independently. This allows storage to automatically scale up to 128 TB without affecting compute, and compute resources to scale separately for performance, enabling flexible and cost-efficient scaling.

Narendran Srinivasan · Answer

Aurora separates compute (query processing) and storage (data) so each can scale independently. This allows storage to auto-scale up to 128 TB without affecting compute, and compute to scale for performance—making scaling efficient and cost-effective.

Narendran Srinivasan · Answer

Aurora separates compute (query processing) and storage (data) so each scales independently. This allows storage to auto-scale without affecting compute, and compute to scale for performance, improving efficiency and cost-effectiveness.

How does Aurora separate compute and storage, and why is this beneficial for scaling?

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