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Editorial Team
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Editorial Team
Asked: May 15, 20262026-05-15T07:16:41+00:00 2026-05-15T07:16:41+00:00

I’m doing some queries in Python on a large database to get some stats

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I’m doing some queries in Python on a large database to get some stats out of the database. I want these stats to be in-memory so other programs can use them without going to a database.

I was thinking of how to structure them, and after trying to set up some complicated nested dictionaries, I realized that a good representation would be an SQL table. I don’t want to store the data back into the persistent database, though. Are there any in-memory implementations of an SQL database that supports querying the data with SQL syntax?

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  1. Editorial Team
    Editorial Team
    2026-05-15T07:16:41+00:00Added an answer on May 15, 2026 at 7:16 am

    SQLite3 might work. The Python interface does support the in-memory implementation that the SQLite3 C API offers.

    From the spec:

    You can also supply the special name
    :memory: to create a database in RAM.

    It’s also relatively cheap with transactions, depending on what you are doing. To get going, just:

    import sqlite3
    conn = sqlite3.connect(':memory:')
    

    You can then proceed like you were using a regular database.

    Depending on your data – if you can get by with key/value (strings, hashes, lists, sets, sorted sets, etc) – Redis might be another option to explore (as you mentioned that you wanted to share with other programs).

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