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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
Language
English
Hacker News Points
2
Source URL
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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| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
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| Data Pipeline | 1 | 279 | 93 | 42 | -13% |
| Developer Experience | 1 | 218 | 86 | 56 | +76% |