From: | SQL Padawan <sql_padawan(at)protonmail(dot)com> |
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To: | "pgsql-general(at)lists(dot)postgresql(dot)org" <pgsql-general(at)lists(dot)postgresql(dot)org> |
Subject: | Understanding the differences between Temporal tables, CDC and Time Series. |
Date: | 2021-11-10 06:43:01 |
Message-ID: | -6G4DflKS7DGekpDCJwxfFi-cGwrdnftqvxBirKKSxnVT-OmPkn9kKPmyG7BDHLNfGWHtcchPSOkdUuR2UvxaTTZOCs4JEz0VYa8E02Agwc=@protonmail.com |
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Lists: | pgsql-general |
Good morning to everyone,
I'm looking into Temporal Tables (TT - i.e. System/Application time versioning) but I would like to understand the differences between TTs and two other features (which appear similar in many ways) - Change Data Capture and Time Series.
Are Temporal Tables (in a sense) a query framework framework around CDC?
And if that's the case, what then are Time Series - which are specifically designed to host (time) changing data?
Are Temporal Tables (again, in a sense) Time Series databases which only record changes in time(-stamps)?
I'm unclear as to the "philosophical" distinctions here and would be grateful if anybody could explain the diffence(s) between them?
I did look at this myself and found these posts on StackOverflow, but I don't feel as if they've fundamentally explained the difference(s).
https://stackoverflow.com/questions/800331/why-do-we-need-a-temporal-database
Any ideas, discussion, references, URLs welcome.
Thx,
SQLP!
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