ALT temuze: Back at my old job in ~2016, we built a cheap homegrown data warehouse via Postgres, SQLite and Lambda. Basically, it worked like this: - All of our data lived in compressed SQLite DBs on S3. - Upon receiving a query, Postgres would use a custom foreign data wrapper we built. - This FDW would forward the query to a web service. - This web service would start one lambda per SQLite file. Each lambda would fetch the file, query it, and return the result to the web service. - This web service would re-issue lambdas as needed and return the results to the FDW. - Postgres (hosted on a memory-optimized EC2 instance) would aggregate. It was straight magic. Separated compute + storage with basically zero cost and better performance than Redshift and Vertica. All of our data was time-series data, so it was extraordinarily easy to partition. Also, it was also considerably cheaper than Athena...