What's more expensive: the data engineering staff you need to have on hand to optimize data loading and queries all to make sure your Snowflake/Databricks bill doesn't balloon out of control, or the staff to maintain your data on either cloud or self-hosted Clickhouse for equal or better query performance?
In a world of limitless VC money, one might choose the more familiar and battle-tested Snowflake dynamics every time... but the world is shifting quite rapidly, and the degree to which investment in a Clickhouse stack is much less likely to "trap" you in rapidly expanding spend on a more closed ecosystem is becoming notable.
In a world of limitless VC money, one might choose the more familiar and battle-tested Snowflake dynamics every time... but the world is shifting quite rapidly, and the degree to which investment in a Clickhouse stack is much less likely to "trap" you in rapidly expanding spend on a more closed ecosystem is becoming notable.