Why DuckDB Outperforms SQLite by 100x on the Same $16 Server
Choose DuckDB rather than SQLite
I benchmarked DuckDB against SQLite on a single $16 Hetzner server running Traceway. The results show DuckDB writes logs fifteen times faster and handles one hundred times more data rows before performance cliffs hit. This columnar engine allows self-hosting a full OpenTelemetry stack at massive scale without needing complex client-server databases.
Each signal's read cliff sits exactly 100x further out on DuckDB than on SQLite, at equal or better latency, on identical hardware.
- otterley
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).
- datadrivenangel
This is AI slop, but I really want to know more about their write patterns and how they were doing batches.
- brightball
> DuckDB's columnar engine
That is workload specific. Title should be "Choose DuckDB rather than SQLite for Analytics" IMHO
- shubhamjain
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.
- ethin
How are these two DB engines even comparable other than at the edges? They handle two completely separate workload types: one is more a general-purpose DB engine and the other is specifically for columnar datasets, analytics and the like -- of course a hand-tuned DB engine is going to destroy SQLite on any reasonable benchmark: SQLite wouldn't be optimized for that hand-tuned use-case whereas something like DuckDB is.