strapi vs duckdb
Two of the top projects in Backends, databases and hosting, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
strapi
Headless CMS that generates REST and GraphQL APIs from content models
duckdb
In-process analytical SQL database that queries CSV, Parquet and JSON files directly
Verdict
Both score 92; strapi ranks higher on stars, 73,467 to 43,035. Of the 3 score parts we measure for both, strapi leads on 1, duckdb on none and 2 are even.
- Adoptionstrapi leads by 5 points, 97 to 92.
- FreshnessEven at 100.
- MaintenanceWe do not score duckdb on this; strapi has 88.
- Agent-readyEven at 70.
Pick strapi if you are
Developers building content APIs for web, mobile or IoT frontends
- Auto-generated REST and GraphQL endpoints for every content type
- Built-in roles and permissions, media library, i18n, and draft and publish
Pick duckdb if you are
Developers needing embedded SQL analytics over local or remote data files
- Runs in-process with no server and no external dependencies
- Queries files by name in FROM, e.g. SELECT * FROM 'myfile.parquet'
| What we compare | strapi | duckdb |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 97, widely used | 92, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 88, healthy | Not scored for this kind |
| Agent-ready | 70, partly | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 73.5k | 43k |
| License | custom license (read the license) | MIT (permissive) |
| Last commit | Nov 2026 | Nov 2026 |
| Last release | Nov 2026 | Oct 2026 |
| Language | TypeScript | C++ |
| Docker | Yes | No |
| GPU | Not needed | Not stated |
| arm64 or Apple Silicon | Not stated | Not stated |
strapi
Strapi is a self-hosted headless CMS written in TypeScript. You define content types in a visual builder, and it generates REST and GraphQL APIs plus an admin UI for editors. It includes roles and permissions, a media library, i18n, draft and publish, and a plugin system, and stores data in SQLite, PostgreSQL, MySQL or MariaDB.
Who it is for: Developers building content APIs for web, mobile or IoT frontends
Strengths
- Auto-generated REST and GraphQL endpoints for every content type
- Built-in roles and permissions, media library, i18n, and draft and publish
- Supports SQLite, PostgreSQL, MySQL and MariaDB
- Hosted live demo and a Next.js LaunchPad template to start from
Weaknesses
- No official Docker images; the README points to a community dockerize tool
- License is not auto-detected (NOASSERTION); check the LICENSE file before commercial use
- AI features are described as Strapi AI, with details only on the vendor site
- Managed hosting is pushed through Strapi Cloud, a separate paid product
- no GPU
- Compose
- Needs Node.js, SQLite, PostgreSQL, MySQL or MariaDB
duckdb
DuckDB is an embedded analytical database written in C++ that runs inside the host application, with no separate server. It reads and writes CSV, Parquet, JSON and Excel from local disk or S3, HTTP, Azure and GCS, and can attach PostgreSQL, MySQL and SQLite databases. It ships as a CLI and as clients for Python, R, Java, Rust, Go and Wasm. It is not an AI project; it fits this list only as a data backend.
Who it is for: Developers needing embedded SQL analytics over local or remote data files
Strengths
- Runs in-process with no server and no external dependencies
- Queries files by name in FROM, e.g. SELECT * FROM 'myfile.parquet'
- Attaches PostgreSQL, MySQL and SQLite and queries them in place
- Extension system for formats, connectors and functions; clients for many languages
Weaknesses
- No AI, LLM or vector features described in the README
- Built for analytics (OLAP), not as a general multi-user application backend
- No auth, storage API or hosting layer; embedding or the quack protocol is the access path
- Building from source needs CMake, Python 3 and a C++17 compiler
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