In Google Cloud, there are several options for unstructured data storage, depending on your requirements, format, and purpose of application or storage. Let’s look at a few:

• Cloud Storage: Cloud Storage is a fully managed object storage service in Google Cloud that allows you to store any type, duration, and volume of data. It is mainly used in service use cases such as streaming videos, images for web applications, and data storage in data lakes.
• Filestore: It is a fully managed high-performance service for file storage that supports high-performance scalability, high availability, backup, and security.
• Block Storage: It is a fully managed, high-performance persistent disk for virtual machines. High scalability, pay-per-use, high flexibility, and high performance are some of the key features of Block Storage.
• Storage Transfer Service: To transfer data across multiple services and service providers quickly and securely, Google Cloud provides Storage Transfer Service or Data Transfer Service, which moves data from cloud to cloud, on-premises to the cloud, and between Cloud Storage buckets.
• BigQuery: BigQuery allows you to store, reference, query, and perform analytics on unstructured data (images, videos, and so on) by integrating smoothly with Cloud Storage using external connection and object table (external table) features. This means that besides being able to take advantage of the fact that you can query structured, semi-structured, and unstructured data independently, you can unify and integrate this data under one roof (BigQuery). This opens up new opportunities for businesses to take advantage of handling all formats of data together, easing the integration step and also improving the precision and accuracy of machine learning (ML) and advanced analytics results.