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.
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.
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).