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Building Iterative Compression for Dynamic Applications

Blog post from Tiger Data

Post Details
Company
Date Published
Author
Sven Klemm
Word Count
1,825
Company Posts That Month
9
Language
English
Hacker News Points
-
Post removed?
No
Summary

TimescaleDB 2.14.0 introduces iterative compression for dynamic applications, allowing users to modify their compression settings on the fly and enabling new chunks to adopt these updated settings. This feature greatly simplifies adjusting compression settings and offers more control and flexibility. The new version also includes per-chunk compression settings, which allows each chunk to have distinct column definitions, enabling customization of compression configurations based on specific needs. Additionally, the compression API has been updated with new optional arguments and deprecated functions. Compression is a powerful cost-saving feature in TimescaleDB that helps users manage their data more efficiently, and this latest update makes it even easier to leverage its benefits.

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