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PostgreSQL + TimescaleDB: 1,000x Faster Queries, 90 % Data Compression, and Much More

Blog post from Tiger Data

Post Details
Company
Date Published
Author
Ryan Booz
Word Count
3,916
Company Posts That Month
7
Language
English
Hacker News Points
2
Post removed?
No
Summary

TimescaleDB is an open-source time-series database that extends PostgreSQL to improve query performance by 1,000x or more and reduce storage utilization by up to 90%. It achieves this through features such as hypertables for efficient data partitioning, compression algorithms for reduced disk consumption, continuous aggregates for faster analytical queries, and a library of hyperfunctions for complex time-series analysis. TimescaleDB also provides built-in job scheduling and retains full compatibility with PostgreSQL and SQL.

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