HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
quickwit-oss
quickwit
Rust2021–2025
quickwit-oss / quickwit

quickwit

Cloud-native OSS search engine for observability

Systems & InfrastructureDevOps & CloudObservabilitySearch & Information Retrieval
Explore on GitHubRead Hacker News discussions
19Distinct people
37Mentions
0Explicit recommenders
11.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Cloud-native OSS search engine for observability

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

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

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 3:30:57 AM 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 year37 dated mentions

Observed mentions: 2021-07-15 10:37:17 UTC to 2025-08-08 17:12:37 UTC.

0510152021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 13 mentions; 2 submissions, 11 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 10 mentions; 4 submissions, 6 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 9 mentions; 3 submissions, 6 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 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
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC211
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC13211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC1046
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC936
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303

What Hacker News says

10 sources
francoismassot·Nov 28, 2023
We tested S3 Express for our search engine quickwit [0] a couple of weeks ago. While this was really satisfying on the performance side, we were a bit disappointed by the price, and I mostly agree with the article on this matter. I can see some very specific use cases where the pricing should be OK but currently, I would say most of our users will just stay on the classic S3 and add some local SSD caching if they have a lot of requests. [0] https://github.com/quickwit-oss/quickwit/
In S3 Express Is All You Need
francoismassot·Oct 22, 2023Submission

Show HN: Quickwit – Cost-Efficient OSS Search Engine for Observability

Hi HN, I’m one of the builders of Quickwit, a cloud-native OSS search engine for observability. As of 2023, we support logs and traces, metrics will come in 2024. You know the pitch: while software like Datadog or Splunk are great, they often comes with hefty price tags. Our mission is to offer an affordable alternative. So we’ve built Quickwit, we’ve made it compatible with the observabilty ecosystem (OpenTelemetry, Jaeger, Grafana) and above all, we’ve made it cost-efficient / “easy” to scale (well it’s never easy to scale to petabytes..). To give you a glance at the engine performance I made a benchmark on the GitHub Archive dataset, 23 TB of events, here are the main observations: Indexing: costs $2 per ingested TB. With 4CPU, throughput is at 20MBs However, you'll observe > 30MB throughput on simpler datasets, like logs and traces. S
Read the rest
earch: a typical query costs $0.0002 per TB (considering both CPU time and GET request costs). Using 8CPU, a simple query on 23TB is achieved in under a second. Storage: on S3, it costs $8 per ingested TB per month on the GitHub Archive dataset. With logs and traces, you might see costs around $5/ingested TB due to a 2x better compression ratio. I'm eager to get your thoughts on this! Benchmark: https://quickwit.io/blog/benchmarking-quickwit-engine-on-an-... Github repo: https://github.com/quickwit-oss/quickwit/ Website: https://quickwit.io/
1 points · Open discussion
guilload·Sep 6, 2023
Quickwit (https://quickwit.io/) | Paris, France | Onsite and remote (based in Europe) | Full-time The company is fully remote but we also have a small office in Paris. We prefer candidates based in Europe but can make exceptions for the right profiles. * Senior Software Engineer 80-110k€ + 0.25-1% equity based on experience. We’re looking for a senior software engineer to contribute to Quickwit(https://github.com/quickwit-oss/quickwit), our open-source search and analytics engine. We have an ambitious roadmap for the next 18 months (performance optimization, distributed storage, support for SQL, query optimizer, revamp of our execution engine, etc.), and this is a great opportunity to shape the future of Quickwit while tackling fun and challenging problems in the field of distributed databases. Full job description: https://quickwit.io/jo
Read the rest
bs/distributed-software-engineer * Developer Advocate 80-110k€ + 0.25-1% equity based on experience. We’re looking for a Developer Advocate to take the reins of content creation and community management to boost our growth. You will get the opportunity to define our advocacy strategy and execute it. Your work will be key to the success of Quickwit, and you will get the full support of all Quickwiots. Full job description: https://quickwit.io/jobs/developer-advocate Contact us at: hello at quickwit dot io
In Ask HN: Who is hiring? (September 2023)
francoismassot·Jun 7, 2023Submission

Show 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
Read the rest
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
4 points · Open discussion

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.