Distributed filesystems, like conventional filesystems, are used to store files. In the case of distributed filesystems such as the HDFS, these files can be very large. Ultimately, however, they are used to store files. When data requires modeling, we need something more than just a filesystem; we need a database.
Distributed databases, just like single-machine databases, allow us to model our data. Unlike single-machine databases, however, the data, and the data model itself, spans, and is preserved across, all the nodes in a cluster acting as a single logical database. This means that not only can we take advantage of the increased performance, throughput, fault tolerance, resilience, and cost-effectiveness offered ...
