I believe people interested in the latter are almost always interested in the former also, at least in the context of transactional systems (and particularly an

I believe people interested in the latter are almost always interested in the former also, at least in the context of transactional systems (and particularly anything subject to complex regulatory requirements). Analytical systems are a different world where time seems to often be regarded as "just another dimension", but strong consistency and auditability are increasingly relevant there too, which is also a natural reflection of how a lot of modern OLAP systems operate internally using immutable snapshots of blob storage (see Snowflake, Iceberg, LakeFS etc.). I know there are definitely lots of potential tricks for making better use of a first-class understanding of time in analytics though, and not just treating it the same as other dimensions, e.g. https://duckdb.org/2023/09/15/asof-joins-fuzzy-temporal-lookups.html https://duckdb.org/2023/09/15/asof-joins-fuzzy-temporal-look... and https://materialize.com/blog/temporal-filters/ https://materialize.com/blog/temporal-filters/