RErektide·Jun 23, 2023
No relation to RISE's Anna KVS, is there?
https://github.com/hydro-project/anna https://news.ycombinator.com/item?id=16551072
In AnnaDBhydro-project
anna
C++2020–2023
hydro-project / anna
anna
A low-latency, cloud-native KVS
6Distinct people
8Mentions
0Explicit recommenders
709GitHub stars
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What it is
A low-latency, cloud-native KVS
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Where it is used
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.
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HN mentions by year8 dated mentions
Observed mentions: 2020-06-14 10:02:44 UTC to 2023-06-23 19:32:55 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
8 sourcesI 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
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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.
I was impressed reading that as well, but after looking at the code, I wonder if it’s really 2000? It seems more.
Regardless, the code is clearly well-organized, easy to read and to the point. I like it.
https://github.com/hydro-project/anna
In Anna: A key-value store for any scaleIt's such a pity development rolled off. Very bold paper.
Other pieces of hydro-project seem ongoingly active.
https://github.com/hydro-project/anna
In Anna: A key-value store for any scaleAnna – A low-latency, cloud-native KVS
2 points · Open discussionI continue to want to dabble here-abouts, since at least the time of having seen "Anna: A Crazy Fast, Super-Scalable, Flexibly Consistent KVS"[1], which is now one[2] of the two major components of the Hydro project, alongside Cloudburst[3], a Python "stateful serverless platform". There's also some other pieces like a local Anna-cache[4] & a coordinated retry library, & kubernetes-centric cluster-manager.
I have no idea how related the Hydro-Project work is to this recent publication on Calm, but I hope to find out!
[1] https://rise.cs.berkeley.edu/blog/anna-kvs/
[2] https://github.com/hydro-project/anna
[3] https://github.com/hydro-project/cloudburst
[4] https://github.com/hydro-project/anna-cache
In Keeping CALM: When Distributed Consistency Is EasyHow does this compare to Anna, which makes similar claims (and seems to actually deliver), https://github.com/hydro-project/anna (up to date link)
In GhostDB – A Fast Distributed CacheStateless serverless platforms like Lambda force a data shipping architecture which hinders any workflows that require state bigger than a webpage like in the included tweet or coordination between function. The functions are short-lived and not reusable, have a limited network bandwidth to S3, and lack P2P communication which does not fit the efficient distributed programming models we know of today.
Emerging stateful serverless runtimes[1] have been shown to support even big data applications whilst keeping the scalability and multi-tenancy benefits of FaaS. Combined with scalable fast stores[2][3], I believe we have here the stateful serverless platforms of tomorrow.
[1] https://github.com/lsds/faasm (can run on KNative, includes demos)
[2] https://github.com/hydro-project/anna (KVS)
[3] https://github.com/stanford-mast/pocket (Multi-t
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iered storage DRAM+Flash)