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quickwit-oss
tantivy
Rust2019–2026
quickwit-oss / tantivy

tantivy

Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust

36Distinct people
54Mentions
0Explicit recommenders
16.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust

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, 10:01:16 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 year54 dated mentions

Observed mentions: 2019-01-15 01:52:33 UTC to 2026-07-13 07:44:08 UTC.

0369122019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 7 mentions; 1 submissions, 6 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 8 mentions; 1 submissions, 7 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 10 mentions; 1 submissions, 9 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 12 mentions; 2 submissions, 10 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC808
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC716
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC817
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC1019
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC413
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC12210
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC202

What Hacker News says

8 sources
Elasticsearch is very popular because it works well for generic searching and can be customized for lots of unique scenarios. There's competition on the infrastructure side using something other than Java/JVM though: For Rust, there's Toshi: https://github.com/toshi-search/Toshi which is built on top of Tantivy: https://github.com/tantivy-search/tantivy For C++, there's Xapiland: https://github.com/Kronuz/Xapiand For Go, there's Blast: https://github.com/mosuka/blast built on Bleve: https://github.com/blevesearch/bleve
In Ask HN: Are Lucene/Solr/ES Still Used for Search?
Tantivy is an interesting project I'd point to in this space: https://github.com/tantivy-search/tantivy That said - it's effectively Lucene rewritten in rust, so the main win is some performance gains. Lucene has spent a ton of time getting the details right, and it's unlikely we'll see an order of magnitude of innovation in that particular space. At the higher level for querying / query understanding it feels like there's still more technological room to grow vs the lower level details.
In Ask HN: Are Lucene/Solr/ES Still Used for Search?
Always nice to see more alternatives to Elasticsearch. That project could be so much better with some proper planning and focus. There's also Toshi: https://github.com/toshi-search/Toshi which is built on top of Tantivy: https://github.com/tantivy-search/tantivy And for C++, there's Xapiland: https://github.com/Kronuz/Xapiand And for Go, there's Blast: https://github.com/mosuka/blast built on Bleve: https://github.com/blevesearch/bleve
In Sonic: Fast, lightweight and schemaless search back end in Rust

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