If anything a database is a form of filesystem, as the name filesystem comes from 'file system', a system of organizing files or records. But filesystems offici

If anything a database is a form of filesystem, as the name filesystem comes from 'file system', a system of organizing files or records. But filesystems officially came after databases, as early databases were designed to make best use of hardware and storage devices to store and retrieve data efficiently, making it easier and faster for computers of the time to use the data. So databases were, effectively, the first filesystems. But the distinction is pretty small. Both filesystems and databases are just wrappers around a data model. The former is primarily concerned with organizing data on a disk (with respect to space, speed, location and integrity), and the latter is primarily concerned with organizing and querying data (with respect to ease-of-use, speed and integrity). People today seem to think relational databases were the first and only databases. But there many types of database: flat, hierarchical, dimensional, network, relational, entity–relationship, graph, object-oriented, object-relational, object-role, star, entity–attribute–value, navigational, document, time-series, semantic, and more. The earliest filesystem, CP/M filesystem, was basically a flat database. Successive filesystems have taken on other data models, such as hierarchical, network and navigational. Since filesystems are used as a low-level interface to raw data, they didn't need more advanced data models or forms of query. On the other hand, IBM DB2, Hadoop, and Google File System are all forms of database filesystems, combining elements of both databases and filesystems.