What type of data storage does the serverless query service primarily interact with?

The serverless query service primarily interacts with object storage because it is designed to efficiently handle large volumes of unstructured data that are stored as objects in a flat namespace. Object storage is utilized for its scalability and flexibility, accommodating various file types and sizes commonly associated with data lakes, cloud-based applications, and big data analytics.

This interaction is key for applications that require fast, on-demand querying of such unstructured data without the need to manage infrastructure. The serverless nature of the service means that it can automatically scale resources to meet query demands, while the object storage stores the files in a way that is accessible via a simple API, allowing seamless integration and efficient data retrieval.

The other types of storage, while useful in their own contexts, do not align as closely with the operations of a serverless query service. For example, block storage is excellent for high-performance applications and databases needing consistent I/O, but it is structured rather than unstructured. File storage is generally better suited for traditional file systems, and database storage is optimized for structured data retrieval scenarios, which is not the primary function of a serverless query service focused on large-scale data analysis.