I don't know why you are getting downvoted. For all those data formats you have to painstakingly make table schemas for them before you can query them. Not like Snowflake or BigQuery. One of the biggest strikes against Presto IMHO.
Then again, both BigQuey and Snowflake require that you move data into their storage engine (Redshift too), and that's an additional step that's proportional to the size and complexity of your data. At the same time, it's stupid to store your logs as OLAP optimized formats and completely lose legibility. In sum, Athena trades off performance for convenience.
No matter what database vendors say, you can't defy the principles of computer science.
Apache Drill is a schema discovery on read approach that can handle some of this. Its not perfect, but it does simplify some of the process where its capabilities fit the task at hand.
https://cloud.google.com/bigquery/federated-data-sources
(I'm Felipe Hoffa and I work for Google https://twitter.com/felipehoffa)