The article says verbatim “PostgreSQL Replaces Clickhouse”.
replyComing from storing billions of rows in Clickhouse and performing dozens of materialized operations I shudder to think about what that would look like in a DB that doesn’t even support declarative IVM.
The article suggested using TimescaleDB which has its own concept of IVM: continuos aggregates. And compared to the approach by ClickHouse it can also update the materialized views when you update/delete old raw data
replyhttps://sqlfordevs.com/books+courses/timescale/05-continuous...
Yes but that is just one use case. Columnar OLAP engines operating on object storage can do all kinds of stuff so much better than Postgres that it may as well be a completely different capability. That said - the point is that you can get a lot further with just Postgres than many people think, and now we also have options like pg_lake. But I wish I'd changed analytics platforms A LOT sooner than I did.
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