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Re:Databricks and Neon by willvarfar on Wednesday May 14, 2025 @07:54AM (#43983395)
Spark was a really big step up from hadoop.

But these days just use trino or whatever. There are lots of new ways to work on data that are all bigger steps up - ergonomically, performance and price - over spark as spark was over hadoop.

Re:Databricks and Neon by disgruntledphd2 on Wednesday May 14, 2025 @09:14AM (#43984155)
The nice thing about spark is the scala/python/R APIs. That helps to avoid lots of the irritating things about SQL (the same transformation applied to multiple columns is a big one).
Re:Databricks and Neon by lelandbatey on Thursday May 15, 2025 @01:08AM (#43992020)
I really can't speak highly enough of Trino (though I used it as AWS Athena, and this was back when Trino was called Presto). It's impressive how well it took "ever growing pile of CSV/JSON/Excel/Parquet/whatever" and let you query it via SQL as-is without transforming it and putting it into some other system.

What an impressive feat of engineering.