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title: SQLite vs DuckDB on the same $16 box: every cliff moved...
description: A detailed benchmark comparing SQLite and DuckDB as embedded storage engines for the Traceway observability platform on a $16.49/month Hetzner server. DuckDB...
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og:description: A detailed benchmark comparing SQLite and DuckDB as embedded storage engines for the Traceway observability platform on a $16.49/month Hetzner server. DuckDB...
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# SQLite vs DuckDB on the same $16 box: every cliff moved 100x · Traceway

**[Hacker News](https://daily.dev/sources/hn)** · 18 min read · 0 upvotes · 0 comments

## Summary

A detailed benchmark comparing SQLite and DuckDB as embedded storage engines for the Traceway observability platform on a $16.49/month Hetzner server. DuckDB outperforms SQLite across all signals: metrics writes are 4x faster (254k vs 62k pts/sec), spans 3x faster, and logs 15x faster. Read cliffs — the largest table size where dashboards still load under 5 seconds — moved exactly 100x for every signal: metrics from 1M to 100M rows, spans and logs from 100k to 10M rows. A billion metric points fit in 10.8 GB on disk. The author also discloses a real bug found during benchmarking (missing ingest admission control causing OOM crashes) and its fix. The post concludes that the DuckDB build is the clear choice for self-hosted deployments where logs matter or retention beyond an hour is needed, while SQLite remains valid for minimal deployments or environments without CGO support.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://tracewayapp.com/blog/sqlite-vs-duckdb>

## Community take

How the wider developer community reacted, aggregated from 1 discussion and 77 comments across hackernews (as of 2026-07-29).

**TL;DR:** The community largely dismisses the post as AI-generated slop making an unfair apples-to-oranges comparison — DuckDB is an OLAP columnar engine and SQLite is an OLTP row-store, so of course DuckDB wins on analytics benchmarks. A minority acknowledge DuckDB's genuine strengths for analytical workloads while noting real limitations like its exclusive-lock concurrency model and lack of replication.

**Sentiment:** 20% positive · 30% mixed · 50% skeptical

**The case for**

- DuckDB is genuinely impressive for OLAP/analytics workloads and can handle ~1B row tables efficiently.
- DuckDB's server mode (Quack) offers a partial workaround for its concurrency limitations.
- DuckDB implements MVCC and has some OLTP-like characteristics useful for absorbing small writes before compacting to object storage.

**The pushback**

- The comparison is fundamentally misleading — DuckDB is a columnar OLAP engine vs. SQLite's row-oriented OLTP design, making the benchmark an apples-to-oranges exercise.
- The article is widely flagged as AI-generated slop, making it painful to read and undermining trust in its claims.
- DuckDB's exclusive write-lock concurrency model is a significant productivity killer in multi-process workflows.
- DuckDB cannot be replicated (unlike SQLite via rqlite/litestream), and the underlying concurrency model blocks progress on this.
- DuckDB reportedly crashes in production more than SQLite, requiring extra resilience engineering.
- The '1000x' performance claim is presented without sufficient proof or methodology.

**By community**

- hackernews (skeptical): Commenters broadly agree the post is AI slop making a category-error comparison, though they acknowledge DuckDB's real OLAP strengths and discuss its concurrency and replication limitations in depth.

**Hottest debate:** Whether the article's framing is a deliberate bait-and-switch (compare apples to oranges, then pitch a product) or just naive AI-generated content that doesn't understand the OLTP/OLAP distinction.

**Open questions**

- How does DuckDB's concurrency model evolve, and will replication support ever land?
- What are the actual write patterns and batching strategies used in the benchmark?
- Is DuckDB's production stability (crash rate) a real concern compared to SQLite's battle-tested reliability?
- Could a hybrid approach — writing with SQLite and querying via duckdb-sqlite over WAL — be a practical workaround?

**Highlights**

> > DuckDB's columnar engine That is workload specific. Title should be "Choose DuckDB rather than SQLite for Analytics" IMHO
> — [brightball on hackernews · 4 comments](https://news.ycombinator.com/item?id=49097996)

> Despite its obvious advantages, the biggest drawback of DuckDB is its concurrency model [1]. If a process opens a database in read-write mode, it acquires an exclusive lock on the file. This prevents even simple read operations from other processes as long as the writer remains open. Maybe there's a simple workaround I haven't come across, but I found it to be quite a productivity killer. So yes, all these benchmarks are great, but it wasn't so fun working with DuckDB when I had to close duckdb cli, just so a query in another script could run. [1]: https://duckdb.org/docs/current/connect/concurrency
> — [shubhamjain on hackernews · 4 comments](https://news.ycombinator.com/item?id=49098174)

> SQLite can be replicated. rqlite, dqlite, litestream etc DuckDB can't be. PR was sent a  year ago. Blocked on the same concurrency model issue in the other sub thread. Specifically on windows, the database can't read its own WAL file from a different thread in the same process. Love DuckDB for being permissively open source, great tech and performance!
> — [adsharma on hackernews](https://news.ycombinator.com/item?id=49098789)

> DuckDB is modern but written in C++ and crashes in production more than SQLite, which is old and it doesn’t really crash. you have to build in resilience to use DuckDb.
> — [lanstin on hackernews · 1 comments](https://news.ycombinator.com/item?id=49098536)

> AI slop. The content might be valuable but the framing makes it too painful to read. Please, folks, write with your own voice -- especially if it's for your business blog. It's good for you as an author (practice makes perfect) and it's good for your readers (whom you want to influence).
> — [otterley on hackernews · 1 comments](https://news.ycombinator.com/item?id=49098128)

**Source threads**

- [hackernews](https://news.ycombinator.com/item?id=49097730) · 59 points · 77 comments

## Similar posts on daily.dev

- [Benchmark Results for DuckDB v1.4 LTS](https://daily.dev/posts/benchmark-results-for-duckdb-v1-4-lts-5orpdn3zi) · DuckDB · 5 upvotes · 0 comments

---

Tags: [#observability](https://daily.dev/tags/observability), [#sqlite](https://daily.dev/tags/sqlite), [#duckdb](https://daily.dev/tags/duckdb)

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