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That point about irregularly spaced data (sparse) is a very insightful observation. I’d just add that a user can to some extent address that by normalization, i.e., splitting incoming data across multiple TimescaleDB (hyper)tables, like in any SQL database. However, the are clear trade-offs here. The upside is that users can themselves balance these trade-offs.



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