Choose DuckDB rather than SQLite
A benchmark comparing DuckDB and SQLite on an inexpensive Hetzner server shows DuckDB significantly outperforms SQLite in both write throughput and read scalability. DuckDB writes 4 to 15 times faster and can query 100 times more rows while maintaining similar latency, handling a billion metric points in under an hour using 10.8 GB of disk. The tests were conducted using the Traceway telemetry backend with identical hardware and methodology, highlighting DuckDB as a strong embedded alternative before considering client‑server OLAP solutions.
- ▪DuckDB achieved write speeds of 61,712 to 254,242 points per second, representing a 4‑ to 15‑fold increase over SQLite.
- ▪Read performance cliffs for metrics, spans, and logs were 100 times farther out on DuckDB, allowing it to handle up to 100 million rows with median query times under 5 seconds.
- ▪A billion metric points were ingested into DuckDB in under an hour, occupying 10.8 GB of storage, a scale not reached by SQLite in the same benchmark.
- ▪The benchmark used the Traceway binary on a $16.49‑per‑month Hetzner CCX13 instance, with identical data generation and load‑testing procedures for both databases.
Hacker News (Front Page) files mainly under programming. We currently carry 763 of its stories. Top-voted stories on Hacker News.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Tracewayapp |
| Canonical URL | https://tracewayapp.com/blog/sqlite-vs-duckdb |
| Publication time | Wed, 29 Jul 2026 14:05:40 +0000 |
| Retrieval time | 2026-07-29T14:28:15.215Z |
| Last seen | 2026-07-29T14:28:15.215Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | S1_QSmKiEi1V · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
EngineeringSQLite vs DuckDB on the same $16 box: every cliff moved 100xJovan Stojiljkovic·July 21, 2026Same $16.49/month server, same Traceway binary, two embedded databases. DuckDB writes 4x to 15x faster than SQLite, serves dashboards at 100x the row count, and stores a billion metric points in 10.8 GB. Full numbers and methodology inside.TL;DR I spent six days working on and running a benchmark of observability data on DuckDB. I've done this with SQLite in the last blog post and I really wanted to see how DuckDB compares on a cheap CCX13 Hetzner instance. The way I've done the measurements is by implementing DuckDB as a valid storage engine for Traceway and then running its benchmarking suite.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Tracewayapp.