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ideawu
ssdb
C++2014–2024
ideawu / ssdb

ssdb

SSDB - A fast NoSQL database, an alternative to Redis

11Distinct people
16Mentions
0Explicit recommenders
8.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

SSDB - A fast NoSQL database, an alternative to Redis

GitHub

Where it is used

No documented product use was verified in the last source check.

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, 3:56:07 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 year16 dated mentions

Observed mentions: 2014-07-14 17:57:40 UTC to 2024-04-14 18:49:29 UTC.

0123452014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20192020-01-01 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): 5 mentions; 3 submissions, 2 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

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
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC211
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
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 UTC101
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 UTC532
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC202
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

16 sources
Also, comment out all `SAVE` to disable snapshotting so you can use the full machine RAM. Otherwise, you have to limit Redis to 50% RAM usage because Redis duplicates the dataset in memory when saving to disk, wasting half the machine's RAM. If you go over 50% RAM usage with snapshotting enabled you risk triggering bgsave error. Finally, check out Redis-compatible alternatives that don't require the data set to fit in RAM. [0] 0: https://github.com/ideawu/ssdb
In Ways to shoot yourself in the foot with Redis
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
welder·Dec 12, 2021Submission

Tell HN: Memcached and Redis Considered Harmful

It's 2021 and we have extremely fast key-value lookups using LevelDB/RocksDB, but we're still using RAM-based caching tools [1] [2] [3]. It's time to consider RAM-based caching harmful, and start caching with SSDs for larger datasets and lower costs. For ex: SSDB [4] [1] https://redis.io/ [2] https://memcached.org/ [3] https://news.ycombinator.com/item?id=29532552 [4] https://github.com/ideawu/ssdb#ssdb-vs-redis
6 points · Open discussion
Stop using RAM for caching, SSDs are just as fast now with LevelDB/RocksDB and can store a magnitude more data. Look into SSDB [1] instead of Memcached. I know it's Redis, but it's basically the same as Memcached if you only use the key-value set/get commands. See this blog post [2] and this Gophercon 2021 talk [3] for examples of it's use in production. [1] https://github.com/ideawu/ssdb [2] https://wakatime.com/blog/45-using-a-diskbased-redis-clone-t... [3] https://www.youtube.com/watch?v=35eIxI_n5ZM&t=10533s
In Drop-In Replacement for Memcached

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