Which type of storage allows for faster queries on the latest data?

Warm storage is designed to provide a balance between performance and cost, making it suitable for scenarios where data access frequency is expected to be higher than cold storage but lower than hot storage. In this context, warm storage typically allows faster queries on the latest data compared to cold storage, which is optimized for infrequent access and retrieval.

While Cosmos DB is a highly performant NoSQL database that can handle real-time analytics and serves as a great option for low-latency workloads, it is not specifically classified as a storage tier in the same way that cold and warm storage are. Azure Files is a managed file share service in the cloud, primarily used for general file storage rather than optimized for rapid querying on changing datasets.

Therefore, warm storage is suitable for scenarios where queries need to be performed quickly on the latest data without incurring the higher costs associated with hot storage or the latency of accessing cold storage.