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I'm doing a Monte Carlo study in which I am doing two things asynchronously:

  1. Generating virtual scenarios (and storing them)
  2. Running them through an algorithm (loading the virtual scenarios and then deleting them)

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The data I'm working with has the following characteristics:

a. "Large" (In the order of a couple of terabytes)

b. Highly ordered (pretty much a 1-D array for each table)

c. Floating point decimal numbers

d. Highly sequential

The last point is the most important, I would like the data to be stored like the old magnetic tape storage devices did, completely sequential. When I want to write to it, I want it to be appended to the very last position. And when I want to read from it, I want it to start reading from the very first value of the table pull a chunk out, and after I'm done, delete it. These read/write processes will be happening simultaneously (or near simultaneous) so I would need it to handle multiple "users" querying it. And as mentioned in the title, this database would need to be able to be interfaced via Python.

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