Which storage service is suitable for storing unstructured data in GCP?

Google Cloud Storage is specifically designed for storing unstructured data, which encompasses a wide range of data types, such as images, videos, backups, and large datasets that do not fall neatly into structured formats like rows and columns. It utilizes an object storage model, allowing you to store and retrieve any type of data while ensuring durability, availability, and security.

This service is highly scalable, meaning it can accommodate large amounts of data and can automatically adjust to your storage requirements as they grow. Its integration with other Google Cloud services allows for straightforward data analysis, archiving, and even hosting applications. This makes Google Cloud Storage an ideal choice for scenarios where flexibility and scalability for diverse data types are essential.

In contrast, the other options cater to specific structured data needs or different types of data storage:

• Google Cloud Spanner is a fully managed, horizontally scalable relational database service that is optimized for structured data.
• Google Cloud SQL is a fully managed relational database service designed for structured data and traditional SQL-based workloads.
• Google BigQuery is a data warehouse solution tailored for analyzing structured data, particularly for running complex queries on large datasets, but it is not used for general unstructured storage.

Thus, among the listed services, Google Cloud Storage stands out as the