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AWS: Glue, and by proxy Athena

GCP: Dataproc

Those are just the obvious ones though.

Glue often uses EMR under the hood, which is often Spark. And Athena is PrestoDB, as far as I know it has nothing to do with Hadoop other than you can use it to query Hadoop data stores.

The way I see it, Hadoop is still in common use as the storage layer for Spark and related implementations, whether that is in the form of HDFS or something like EMRFS:

Quote from AWS: "EMRFS is an implementation of the Hadoop file system ..."

https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-p...

Ah - that's a good point. Usually when people say "Hadoop", I assume they're referring to HDFS, but there is (was...) the Hadoop MR system that ran on top of it that has been almost entirely replaced by Spark.

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