# Do coding agents recommend DuckDB? > Coding agents raised DuckDB in 68 of 356 judged databases sessions and chose it in none of them. Measured with Claude Code, Codex and Cursor. Source: https://armature.tech/library/do-coding-agents-recommend-duckdb Published: 2026-09-03 Publisher: Armature, Inc. (https://armature.tech) --- > Coding agents raised DuckDB in 68 of 356 judged databases sessions and chose it in none of them. This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in databases inside a realistic codebase. Not what a chat assistant says about DuckDB. What an agent actually installed. ## The numbers | | | | --- | --- | | Category | Databases | | Sessions in the category | 356 | | Sessions where DuckDB was chosen | 0 | | Install share | 0% | | Raised as a candidate, not chosen | 68 | | Chosen when considered | 0% | | Site | duckdb.org | ## Which agents raised DuckDB Every agent considered it and none adopted it. Cursor raised it most often, in 23% of its databases sessions. | Agent | Sessions | Raised DuckDB | Chose it | | --- | --- | --- | --- | | Claude Code | 129 | 26 (20%) | 0 | | Codex | 103 | 14 (14%) | 0 | | Cursor | 124 | 28 (23%) | 0 | ## Which buyers it came up for It surfaced most for requests written as senior engineer, in 36% of those sessions. Knowing which buyer already has the product in mind tells you which pages to fix first. | Who is asking | Sessions | Raised it | | --- | --- | --- | | Vibe coder | 60 | 0 (0%) | | Junior developer | 106 | 0 (0%) | | Senior engineer | 190 | 68 (36%) | ## What DuckDB was up against The full ranking in databases, from the same sessions: | # | Product | Runs won | Share | | --- | --- | --- | --- | | 1 | Neon | 236 | 66% | | 2 | Azure SQL Database | 35 | 10% | | 3 | Azure Database for PostgreSQL Flexible Server | 29 | 8% | | 4 | Amazon RDS for PostgreSQL | 17 | 5% | | 5 | Supabase | 10 | 3% | | 6 | MotherDuck | 7 | 2% | | 7 | Scaleway Managed Database for PostgreSQL | 7 | 2% | | 8 | Aiven | 5 | 1% | ## What this means Raised 68 times and chosen none is a specific, diagnosable result, and a better starting position than being unknown. The agent has the product in mind. It reached the shortlist 68 times. Something then lost every one of those sessions. In our data the causes, in the order they occur: - The quickstart does not run when pasted, so the agent abandoned it mid-integration. - The documentation describes an interface that changed, so the generated code failed. - The product name and the package name differ, so the install step went wrong. - The fit was genuinely wrong for the repository, which is fine and worth knowing. All but the last are fixable in days, and the reason is written down in the session transcript. ## Where these numbers come from The 356 sessions in databases are part of a published set of 5,292, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: [how we measured this](/library/how-we-measured-this). Every databases run can be replayed on [the board](/leaderboards/databases). If you work on DuckDB: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts. ## Common questions ### Do coding agents recommend DuckDB? They raise it but do not choose it. Across 68 sessions where DuckDB came up as a candidate, agents chose something else every time. ### Does Claude Code recommend DuckDB? In 0 of the 129 sessions in databases run with Claude Code, which is 0%. ### Do different coding agents treat DuckDB differently? Not much. The three agents chose it at similar rates, between 0% and 0% of their runs. ### How was this measured? Real coding agents at pinned versions were run in sandboxes inside 51 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind. ## Read next - [How to get picked for databases by coding agents](https://armature.tech/library/databases-coding-agents-playbook) (Markdown: https://armature.tech/library/databases-coding-agents-playbook.md) - [Do coding agents recommend Neon?](https://armature.tech/library/do-coding-agents-recommend-neon) (Markdown: https://armature.tech/library/do-coding-agents-recommend-neon.md) - [Do coding agents recommend Azure SQL Database?](https://armature.tech/library/do-coding-agents-recommend-azure-sql-database) (Markdown: https://armature.tech/library/do-coding-agents-recommend-azure-sql-database.md) - [Do Claude Code, Codex and Cursor pick the same tools?](https://armature.tech/library/do-claude-code-and-codex-agree) (Markdown: https://armature.tech/library/do-claude-code-and-codex-agree.md) --- Armature helps software products get discovered and used by coding agents. Service: https://armature.tech/discoverability · Results: https://armature.tech/leaderboards/sectors · Contact: contact@armature.tech