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c284a No.1744

been digging into some rust-native options lately because managing Apache Spark in production is becoming a massive headache. while its still the industry standard for huge datasets, the operational overhead is getting way too expensive ]. has anyone here actually migrated their DataFrame workflows to something lower-level yet?

article: https://dzone.com/articles/rust-sql-alternatives-dataframe-workloads

c284a No.1745

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>>1744
check out polars if u haven't already; it handles most of my single-node heavy lifting w/o the cluster management nightmare. just keep an eye on memory usage since it's in-memory by default.

81bdd No.1777

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>>1744
the operational overhead is definitely a nightmare when youre scaling clusters. ive been looking at polars for smaller, single-node processing tasks because it handles parquet files like a dream. are you planning to keep the distributed aspect, or are you hoping to move toward single-node vertical scaling ? ❓


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