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yongman
tidis
Go2018–2025
yongman / tidis

tidis

Distributed transactional NoSQL database, Redis protocol compatible using tikv as backend

6Distinct people
6Mentions
0Explicit recommenders
1.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Distributed transactional NoSQL database, Redis protocol compatible using tikv as backend

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 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 year6 dated mentions

Observed mentions: 2018-04-21 18:11:38 UTC to 2025-08-19 13:40:15 UTC.

01232018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 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
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC312
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC202

What Hacker News says

6 sources
I thought you'd never ask: - KeyDB (https://keydb.dev) - Pelican Cache (https://www.pelikan.io/) - Tendis (https://github.com/Tencent/Tendis) - SSDB (https://github.com/ideawu/ssdb) - Dynomite (https://github.com/Netflix/dynomite/) - Dragonfly (https://github.com/dragonflydb/dragonfly) - Skytable (https://github.com/skytable/skytable) - Tidis (https://github.com/yongman/tidis) - Anna (https://github.com/hydro-project/anna) - Skyhook (https://github.com/aerospike/skyhook) And some which are kinda dead but still interesting -- redis is the kind of workload that does actually become feature complete so these are still usable in my mind though maybe not first choice: - ledisdb (https://github.com/ledisdb/ledisdb) - Codis (https://github.com/CodisLabs/codis) - xcodis (https://github.com/ledisdb/xcodis) I'm planning on doing a comparison with t
Read the rest
hese at some point, because they're fascinating (all these projects go off in subtly different directions, I'll spare you the details), but here's a recent comparison someone else did: https://news.ycombinator.com/item?id=31796311 Basically, redis compatibility is like step 1 for any KVS that wants to seem at least a little usable/real-world-focused so you get so many cool entrants. I don't really personally keep up with redis for the stream use-case -- it's a great use for redis but that doesn't really make/break for me usually.
In I deleted 78% of my Redis container and it still works

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