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duckdb
duckdb-sqlite
C2022–2026
duckdb / duckdb-sqlite

duckdb-sqlite

DuckDB extension to read and write to SQLite databases

5Distinct people
9Mentions
0Explicit recommenders
297GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

DuckDB extension to read and write to SQLite databases

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.

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, 12:54:37 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 year9 dated mentions

Observed mentions: 2022-03-25 18:42:58 UTC to 2026-06-26 17:10:12 UTC.

012342022-01-01 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): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20242025-01-01 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): 1 mentions; 1 submissions, 0 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
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 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC211
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 UTC110

What Hacker News says

9 sources
You can use DuckDB WASM independently of Pyodide and can extend it with SQLite. Though it seems to be somewhat limited. I couldn't even check what version it has, since sqlite_version() was missing. Version in the repository [1] is 3.38.1, which is from quite a ways ago. At the moment DuckDB web shell can't load SQLite extension, since that hasn't been released for yesterday's 1.1.2. Earlier version does work using recently updated WASM edition. That can be extended with spatial including GDAL, vector search etc [2]. Making your own "SQL web shell" wasn't too hard, though docs weren't quite complete enough for me. [1] https://github.com/duckdb/sqlite_scanner/blob/main/src/sqlit... [2] https://github.com/duckdb/duckdb-wasm/releases/tag/v1.29.0
In Sqlite3 WebAssembly
It's not a dumb question at all. I'm pretty knowledgeable with DBs and still find it very difficult to understand how many of these front-end/pass-through engines work. Checkout Postgres Foreign Data Wrappers. That might be the most well known approach for accessing one database through another. The Supabase team wrote an interesting piece about this recently. https://supabase.com/blog/postgres-foreign-data-wrappers-rus... You might also want to try out duckdb's approach to reading other DBs (or DB files). They talk about how they can "import" a sqlite DB in the above 0.7.0 announcement, but also have some other examples in their duckdblabs github project. Check out their "...-scanner" repos: https://github.com/duckdblabs/postgres_scanner https://github.com/duckdblabs/sqlite_scanner
In DuckDB 0.7.0
Excellent question! I'll jump in - I am a part of the DuckDB team though, so if other users have thoughts it would be great to get other perspectives as well. First things first - we really like quite a lot about the SQLite approach. DuckDB is similarly easy to install and is built without dependencies, just like SQLite. It also runs in the same process as your application just like SQLite does. SQLite is excellent as a transactional database - lots of very specific inserts, updates, and deletes (called OLTP workloads). DuckDB can also read directly out of SQLite files as well, so you can mix and match them! (https://github.com/duckdblabs/sqlitescanner) DuckDB is much faster than SQLite when doing analytical queries (OLAP) like when calculating summaries or trends over time, or joining large tables together. It can use all of your CPU cor
Read the rest
es for sometimes ~100x speedup over SQLite. DuckDB also has some enhancements with respect to data transfer in and out of it. It can natively read Pandas, R, and Julia dataframes, and can read parquet files directly also (meaning without inserting first!). Does that help? Happy to add more details!
In Friendlier SQL with DuckDB

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