Google Cloud Platform (GCP)

Cloud Storage stores objects in buckets. There are several differences between Cloud Storage and a file system. 1. A file system has a hierarchical structure. Cloud Storage is unstructured. It is a flat system of buckets (not directories) that cannot be nested. 2. An object name may consist of up to 222 characters. A valid character in an object name include '/' (forward slash). Using this character in object names can simulate some of the hierarchical structure of a file system, even though the slash is not a functionally significant entity. 3. Objects are replicated and distributed for availability. However, there is no distributed equivalent of a file lock. Therefore, the last entity to write to an object "wins." If you use Cloud Storage in a distributed application, the application is responsible for locking and serialization of access. 4. Cloud Storage treats objects as an unstructured series of bytes. Multi-Regional = Data is stored red...

All application need persistent and durable storage to accomplish their purpose. Applications vary in their storage requirements, so Google Cloud Platform offers many persistent storage services. Note: BigQuery is grayed out. BigQuery sits on the edge between data storage and data processing. You can store data in BigQuery, but the usual reason to do this is to use BigQuery's big data analysis and interactive querying capabilities All data in GCP is encrypted while at rest and encrypted in flight. Different applications and workloads require different storage and database solutions. Google offers a full suite of industry-leading storage services that are price performant and meet your needs for structured, unstructured, transnational, and relational data. This decision chart helps you identify the solutions that fit your scenarios.