TAtanelpoder·Jan 27, 2026Submission
Quack-Cluster: A Serverless Distributed SQL Query Engine with DuckDB and Ray
80 points · Open discussionkristianaryanto
Quack-Cluster
Python2025–2026
kristianaryanto / Quack-Cluster
Quack-Cluster
Discover this repository through its Hacker News conversations.
2Distinct people
2Mentions
0Explicit recommenders
156GitHub stars
What to know before exploring
What it is
A public description has not been verified.
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
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, 5:04:57 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 week2 dated mentions
Observed mentions: 2025-07-21 14:08:46 UTC to 2026-01-27 00:24:56 UTC. Weeks start Monday, 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 |
|---|---|---|---|---|---|
| Jul 21 | 2025-07-21 00:00:00 UTC | 2025-07-28 00:00:00 UTC | 1 | 1 | 0 |
| Jul 28 | 2025-07-28 00:00:00 UTC | 2025-08-04 00:00:00 UTC | 0 | 0 | 0 |
| Aug 4 | 2025-08-04 00:00:00 UTC | 2025-08-11 00:00:00 UTC | 0 | 0 | 0 |
| Aug 11 | 2025-08-11 00:00:00 UTC | 2025-08-18 00:00:00 UTC | 0 | 0 | 0 |
| Aug 18 | 2025-08-18 00:00:00 UTC | 2025-08-25 00:00:00 UTC | 0 | 0 | 0 |
| Aug 25 | 2025-08-25 00:00:00 UTC | 2025-09-01 00:00:00 UTC | 0 | 0 | 0 |
| Sep 1 | 2025-09-01 00:00:00 UTC | 2025-09-08 00:00:00 UTC | 0 | 0 | 0 |
| Sep 8 | 2025-09-08 00:00:00 UTC | 2025-09-15 00:00:00 UTC | 0 | 0 | 0 |
| Sep 15 | 2025-09-15 00:00:00 UTC | 2025-09-22 00:00:00 UTC | 0 | 0 | 0 |
| Sep 22 | 2025-09-22 00:00:00 UTC | 2025-09-29 00:00:00 UTC | 0 | 0 | 0 |
| Sep 29 | 2025-09-29 00:00:00 UTC | 2025-10-06 00:00:00 UTC | 0 | 0 | 0 |
| Oct 6 | 2025-10-06 00:00:00 UTC | 2025-10-13 00:00:00 UTC | 0 | 0 | 0 |
| Oct 13 | 2025-10-13 00:00:00 UTC | 2025-10-20 00:00:00 UTC | 0 | 0 | 0 |
| Oct 20 | 2025-10-20 00:00:00 UTC | 2025-10-27 00:00:00 UTC | 0 | 0 | 0 |
| Oct 27 | 2025-10-27 00:00:00 UTC | 2025-11-03 00:00:00 UTC | 0 | 0 | 0 |
| Nov 3 | 2025-11-03 00:00:00 UTC | 2025-11-10 00:00:00 UTC | 0 | 0 | 0 |
| Nov 10 | 2025-11-10 00:00:00 UTC | 2025-11-17 00:00:00 UTC | 0 | 0 | 0 |
| Nov 17 | 2025-11-17 00:00:00 UTC | 2025-11-24 00:00:00 UTC | 0 | 0 | 0 |
| Nov 24 | 2025-11-24 00:00:00 UTC | 2025-12-01 00:00:00 UTC | 0 | 0 | 0 |
| Dec 1 | 2025-12-01 00:00:00 UTC | 2025-12-08 00:00:00 UTC | 0 | 0 | 0 |
| Dec 8 | 2025-12-08 00:00:00 UTC | 2025-12-15 00:00:00 UTC | 0 | 0 | 0 |
| Dec 15 | 2025-12-15 00:00:00 UTC | 2025-12-22 00:00:00 UTC | 0 | 0 | 0 |
| Dec 22 | 2025-12-22 00:00:00 UTC | 2025-12-29 00:00:00 UTC | 0 | 0 | 0 |
| Dec 29 | 2025-12-29 00:00:00 UTC | 2026-01-05 00:00:00 UTC | 0 | 0 | 0 |
| Jan 5 | 2026-01-05 00:00:00 UTC | 2026-01-12 00:00:00 UTC | 0 | 0 | 0 |
| Jan 12 | 2026-01-12 00:00:00 UTC | 2026-01-19 00:00:00 UTC | 0 | 0 | 0 |
| Jan 19 | 2026-01-19 00:00:00 UTC | 2026-01-26 00:00:00 UTC | 0 | 0 | 0 |
| Jan 26 | 2026-01-26 00:00:00 UTC | 2026-02-02 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
2 sourcesShow HN: Quack-Cluster – A serverless distributed SQL engine with DuckDB and Ray
Hi HN,
I'm excited to share a project I've been working on: Quack-Cluster.
I love the speed and simplicity of DuckDB for analytics, but I often work with datasets spread across hundreds of files in object storage (like S3). I wanted a way to run distributed queries across all that data without the complexity of setting up and managing a full-blown Spark or Presto cluster. I'm also a big fan of Ray for its simplicity in distributed Python, so I decided to combine them.
How it works:
You send a standard SQL query to a central coordinator. It uses SQLGlot to parse the query and identify the target files (e.g., s3://bucket/data/*.parquet). It then generates a distributed plan and sends tasks to a cluster of Ray actors. Each Ray actor runs an embedded DuckDB instance to process a subset of the files in parallel. The partial results (as Arrow t
Read the rest
ables) are then aggregated and returned to the user.
The goal is to provide a lightweight, high-performance, and serverless alternative for interactive SQL analytics directly on a data lake.
The core tech stack is:
Backend: Python, FastAPI
Distributed Computing: Ray
Query Engine: DuckDB
SQL Parsing: SQLGlot
The project is open-source and I've tried to make it easy to get started locally with Docker and make. I'm here to answer any questions and would be grateful for any feedback on the architecture, use case, or the code itself.
Thanks for checking it out!