# Alternatives for lazy/out-of-core data processing in Julia

**URL:** <https://discourse.julialang.org/t/alternatives-for-lazy-out-of-core-data-processing-in-julia/139631>\
**Category:** General Usage\
**Tags:** package\
**Created:** [September 23, 2026, 5:59pm UTC](https://discourse.julialang.org/t/alternatives-for-lazy-out-of-core-data-processing-in-julia/139631 "2026-09-23T17:59:00Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![stephancb](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/stephancb/32/14243_2.png) [@stephancb](https://discourse.julialang.org/u/stephancb)\
**Post date:** [September 24, 2026, 11:25am UTC](https://discourse.julialang.org/t/alternatives-for-lazy-out-of-core-data-processing-in-julia/139631/6 "2026-09-24T11:25:29Z")

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Thread

> [@Reading large CSV files](https://discourse.julialang.org/t/reading-large-csv-files/139061):
>
> Hi, is there any way to read a 88 GB csv file into a DataFrame? It kills julia, even with the -t auto option. Thanks!

has a related discussion and advice.

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