I'm working in a Python program which has to access data that is currently stored in plain text files. Each file represents a cluster of data points that will be accessed together. I don't need to support different queries, the only thing I need is to retrieve and copy to memory cluster of data as fast as possible.
I'm wondering if maybe a document oriented database could work better than my current text file approach. In particular, I would like to know if the seek time and transfer speed are the same in document-oriented DBs that in files.
Should I switch to a document-oriented database or stay with the plain file?
You probably should check MongoDB according to this answers and MongoDB documentation it should have much better performance and more advantages over plain texts like easier backups and it has also nice API in Python.