If your analysis in Postgres was based on multiple tables and required a lot of JOIN operations, I don't think ClickHouse is a good choice. In such cases, you often need to denormalize multiple data tables into one large table in advance, which means complex ETL and maintenance costs.
For these more common scenarios, I think StarRocks (www.StarRocks.io) is a better choice. It's a Linux Foundation open-source project, with single-table query speeds comparable to ClickHouse (you can check Clickbench), and unmatched multi-table join query speeds, plus it can directly query open data lakes.