Filesystem Storage 

Filesystem storage is the best for storing unstructured data in cloud native applications. Unlike NoSQL stores, it does not try to understand the data but rather purely optimizes data storage and retrieval. We can also use filesystem storage to store large application data as a cache, as it can be cheaper than retrieving data repeatedly over the network.

Though this is the cheapest option, it may not be an optimal solution when storing text or semi-structured data, as this will force us to load multiple files when searching for a single data entry. In these cases, we recommend using indexing systems such as Apache Solr or Elasticsearch to facilitate search.

When data needs to be stored at scale, distributed filesystems can be used. The most well-known open source option is Hadoop Distributed File System (HDFS), and popular cloud options include Amazon Simple Storage Service (S3), Azure Storage services, and Google Cloud Storage.

https://learning.oreilly.com/library/view/design-patterns-for/9781492090700/ch04.html#data_store_summary