KLklaussilveira·Jan 10, 2025Submission
Chitchat: Cluster membership protocol inspired by Cassandra and DynamoDB
1 points · Open discussionquickwit-oss
chitchat
Rust2022–2025
quickwit-oss / chitchat
chitchat
Cluster membership protocol with failure detection inspired by Cassandra and DynamoDB
4Distinct people
6Mentions
0Explicit recommenders
383GitHub stars
What to know before exploring
What it is
Cluster membership protocol with failure detection inspired by Cassandra and DynamoDB
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.
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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, 3:03:16 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: 2022-04-28 10:36:43 UTC to 2025-01-10 22:48:47 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 |
|---|---|---|---|---|---|
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 4 | 0 | 4 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
6 sourcesShow HN: Quickwit 0.6 – OSS Elasticsearch alternative on object storage
Hey HN,
In 2021, we started building our OSS search engine[0] with the objective to search directly on object storage and substantially lower the infrastructure costs of search at a large scale.
Two years after our common crawl demo hit the front page[1], our latest release, Quickwit 0.6, is finally reaching the point where our engine can be a drop-in replacement of Elasticsearch for logs and traces with all your data on object storage.
Two years is both very long for a startup and very short when you build a distributed engine. And we decided to do it the hard way: we implemented our own OSS gossip library[2], our own {S3,JSON}-friendly columnar format[3], and of course, we maintain our own search library, tantivy[4], a Lucene equivalent in Rust. From time to time, we also do fun things like language detection[5], always OSS. This is a l
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ot of engineering investment and it takes some time to finally reach the end users.
I won’t tell you Quickwit is XX times cheaper or faster as we don’t have yet published an unbiased benchmark - I’m working on it and it’s really hard to avoid the common pitfalls.
Instead, I will just give two links to show the performance is really good on search and indexing and comments from 2 users we discovered on Twitter/HN:
- Search and do analytics on the whole GitHub archive dataset (5.6 billion events ~ 21TB JSON) in less than 2 seconds with a few nodes. See the short demo [6].
- You can achieve an indexing throughput of 1.5GB/s with 40 nodes and it scales linearly [7].
- Nice comment from Arnon Rotem-Gal-Oz, VP, Chief Architect at SAP: « I've just spent the day setting up v.05 on k8s with SSL to Kafka source, VRL transformations, and persistence to Azure -I can see it is shaping up as an alternative to our ES-based log handling. » [8]
- Another nice comment seen on HN « it seems to be very easy to run, not very IO intensive, and running fine on a single node with modest hardware with >2 billion log rows. It has a really cool dynamic schema feature too.» [9]
Fun fact: at least 4 users are using Garage[10] as the object storage, this OSS project looks really promising and made the HN front page a few months ago[11], we really cherish the OSS for this kind of unexpected combination.
Any feedback positive/negative always greatly appreciated here!
[0] Quickwit repo: https://github.com/quickwit-oss/quickwit
[1] Searching the web under 1000$/month: https://news.ycombinator.com/item?id=27074481
[2] Chitchat gossip library: https://github.com/quickwit-oss/chitchat
[3] Columnar format: https://github.com/quickwit-oss/tantivy/tree/main/columnar
[4] Tantivy library: https://github.com/quickwit-oss/tantivy/
[5] Whichlang library: https://github.com/quickwit-oss/whichlang
[6] GitHub Archive demo in terminal: https://www.youtube.com/watch?v=SNq3bARRlDI
[7] Indexing performance: https://twitter.com/fulmicoton/status/1638016949459488768
[8] https://twitter.com/arnonrgo/status/1645429632303235073?s=20
[9] https://news.ycombinator.com/item?id=35742544
[10] Garage object storage: https://garagehq.deuxfleurs.fr/
[11] https://news.ycombinator.com/item?id=33853539
I forgot to reference the issue https://github.com/quickwit-oss/chitchat/issues/30
In Decentralized cluster membership in RustThanks a lot, you can always file a issue on https://github.com/quickwit-oss/chitchat. We can improve the documentation, add more example and mostly learn from your use case.
In Decentralized cluster membership in RustThe source itself is commercial AGPL v3.0. I'm guessing that this was an accident so I opened https://github.com/quickwit-oss/chitchat/issues/42 to clarify.
In Decentralized cluster membership in RustAnd it's open-source, MIT License.
Crate: https://crates.io/crates/chitchat
Github: https://github.com/quickwit-oss/chitchat
In Decentralized cluster membership in Rust