Which storage service type is optimized for unstructured data and is commonly used in cloud storage?

• A. Block storage
• B. File storage
• C. Object storage
• D. HDFS storage

Answer: (C)

Unstructured data is best handled by object storage. Objects store data with metadata and a unique identifier, without relying on a traditional filesystem. This design makes it highly scalable and cost-effective for vast collections of items like images, videos, backups, and logs. Access is typically via RESTful APIs over HTTP, which fits cloud environments where apps need easy, direct access from anywhere. The rich metadata and scalability also support powerful lifecycle policies and data governance across large datasets.

Block storage provides raw blocks and depends on an external filesystem or database, suitable for low-latency, IO-heavy workloads but not optimized for distributing unstructured data across the cloud. File storage offers a hierarchical filesystem and shared folders, which is great for collaboration but doesn’t scale as smoothly for massive unstructured datasets. HDFS storage is designed for Hadoop-centric processing within clusters, not as a general-purpose cloud storage solution for unstructured data.

So, object storage is the storage type optimized for unstructured data and widely used in cloud storage.