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readysettech
readyset
Rust2022–2025
readysettech / readyset

readyset

Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.

8Distinct people
9Mentions
0Explicit recommenders
5.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.

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 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:01:32 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 year9 dated mentions

Observed mentions: 2022-06-16 17:14:23 UTC to 2025-08-25 08:54:49 UTC.

012342022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025

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
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC404
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC312
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC110

What Hacker News says

3 sources
In the Microsoft SQL Server space, several of these vendors have come and gone. My clients have been burned badly by 'em, so a few quick lessons learned: Be aware that there are hundreds of open issues[0] and dozens of pull requests [1], some of which involve clients being unable to connect or not supporting all components of the SQL language. Just because your database supports something, doesn't mean your caching layer will. It gets really ugly when a new version of your database comes out, with brand new features and language enhancements, and the caching layer doesn't support it. It may take months, or in some cases years, before the caching layer is feature-complete with the underlying database. If you want to use some of those language enhancements, then your app may have to maintain two connection strings - one for the caching laye
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r, and one for direct database queries that the caching layer doesn't support. Your support teams need to learn how to diagnose problems with the caching layer. For example, this issue [2] talks about the level of work involved with understanding why newly inserted data isn't showing up in selects. I hope they succeed and deliver the concept, because it's one of the holy grails of databases. [0]: https://github.com/readysettech/readyset/issues [1]: https://github.com/readysettech/readyset/pulls [2]: https://github.com/readysettech/readyset/issues/39
In Readyset: A MySQL and Postgres wire-compatible caching layer

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