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canonical
dqlite
C2018–2026
canonical / dqlite

dqlite

Embeddable, replicated and fault-tolerant SQL engine.

25Distinct people
33Mentions
0Explicit recommenders
4.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Embeddable, replicated and fault-tolerant SQL engine.

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 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 year33 dated mentions

Observed mentions: 2018-04-05 12:02:18 UTC to 2026-10-24 20:46:19 UTC.

0369122018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 12 mentions; 0 submissions, 12 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 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
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC211
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC12012
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC808
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC413
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC303
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC303

What Hacker News says

33 sources
I feel like there should be a comparison table listing all of these engines and how they compare on their external dependencies, whether a single leader/any node can write, their shape (embeddable library vs server), etc. IMHO support for transactions is a pretty important dividing line. Some engines support full SQLite transactions while others - like rqlite - don't officially support BEGIN/COMMIT [0], which matters if you rely on multi-statement transactions. A friend/colleague has been building a pure-Python client for dqlite [1] (DB-API and SQLAlchemy), which may interest folks here. dqlite has full support for transactions, and like rqlite doesn't have external dependencies (ie no S3/Consul). No knock on rqlite or any other engine - dqlite has warts too [2]. [0] https://rqlite.io/docs/faq/#does-rqlite-support-transactions [1] https:/
Read the rest
In Twelve years of distributed SQLite
Just to point out, there are now SQLite replication and various "distributed database" projects which seem to work fairly well. They're probably not as battle tested as the PostgreSQL ones, but they are around, have users, and are actively developed. The ones I remember off the top of my head: * https://litestream.io * https://github.com/rqlite/rqlite <-- more of a "distributed database using RAFT" type of thing * https://github.com/canonical/dqlite
In Ask HN: It's 2023, how do you choose between MySQL and Postgres?
Postgres is better in the I-need-concurrency case -- I think it's the greatest RDBMS that's ever been made and would like someone to prove me wrong some day. SQLite's amazing too though, when you don't need concurrency (and most websites don't really -- especially the ones that should be scaling vertically instead of horizontally). Anyway here's some cool SQLite stuff: - https://github.com/CanonicalLtd/dqlite - https://github.com/rqlite/rqlite - https://datasette.readthedocs.io/en/stable/ - https://www.sqlite.org/rtree.html - https://github.com/sqlcipher/sqlcipher - https://github.com/benbjohnson/litestream - https://github.com/aergoio/aergolite - https://sqlite.org/lang_with.html#rcex3 - https://github.com/sql-js/sql.js - https://www.gaia-gis.it/fossil/libspatialite/index - https://github.com/h3rald/litestore - https://github.com/adamlou
Read the rest
In SQLite the only database you will ever need in most cases

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