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timescale
benchmark-postgres
Go2017–2017
timescale / benchmark-postgres

benchmark-postgres

Tools for benchmarking TimescaleDB vs PostgreSQL

2Distinct people
2Mentions
0Explicit recommenders
39GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Tools for benchmarking TimescaleDB vs PostgreSQL

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 6:01:08 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2017-08-11 01:07:59 UTC to 2017-08-11 02:52:46 UTC.

012017-08-11 01:00:00 UTC to 2017-08-11 02:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 11, 01:002017-08-11 02:00:00 UTC to 2017-08-11 03:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 11, 02:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 11, 01:002017-08-11 01:00:00 UTC2017-08-11 02:00:00 UTC101
Aug 11, 02:002017-08-11 02:00:00 UTC2017-08-11 03:00:00 UTC101

What Hacker News says

1 sources
Why do you usually advertise the write performance? Let's say that I have "100+ billion rows (the number in your landing page)", how much time it takes to run a simple GROUP BY query? The benchmark repo doesn't actually include the performance comparison between Timescale and Postgres: https://github.com/timescale/benchmark-postgres#benchmark-qu... This blog post (https://blog.timescale.com/timescaledb-vs-6a696248104e) has some query benchmarks and the main benefit it that the hypertable will partition the data smoothly and if we query the table by filtering with timestamp column, it will be fast since Timescale uses partitioning as an indexing method.
In Timescale, an open-source time-series SQL database for PostgreSQL

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