DuckDB vs lowdb
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
An in-process analytical SQL database that runs inside your app with no server to manage.
Open source · MIT
A small JSON-file database you use with plain JavaScript arrays and objects.
The short answer
Choose DuckDB if you need…
- Analysts who want to run SQL directly on CSV, Parquet, or JSON files
- Python or R users who work with pandas-style data and want fast SQL
- Developers embedding an analytical database in an application without running a server
- Students learning SQL on realistic data sets
Choose lowdb if you need…
- Node.js developers building small tools or prototypes that need simple persistent storage
- Projects where a full database server would be more setup than the job needs
- Developers who want to query data with native Array functions instead of a query language
- Test suites that need a fast in-memory store, using the Memory adapters
Side-by-side
| DuckDB | lowdb | |
|---|---|---|
| Type | Library | Library |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 42.7k | 22.6k |
| Setup difficulty | Beginner | Beginner |
| How you get it | Download the app | Install with a package manager |
| Main language | C++ | JavaScript |
| Last code update | 4 days ago | 7 months ago |
What each one is
DuckDB
DuckDB is a database system built for analytical queries, the kind that summarize and combine large amounts of data. It runs inside your application rather than as a separate server, so there is nothing extra to set up or manage. It can query files like CSV, Parquet, and JSON directly, and it can also attach to PostgreSQL, MySQL, and SQLite databases.
lowdb
lowdb stores your data in a plain JSON file and lets you read and change it with ordinary JavaScript objects and array methods. You write changes with a single call, and the library saves them to disk. It is an npm package, so it runs inside a Node.js project, and the README also mentions browser storage adapters.
Best for
DuckDB
- Analysts who want to run SQL directly on CSV, Parquet, or JSON files
- Python or R users who work with pandas-style data and want fast SQL
- Developers embedding an analytical database in an application without running a server
- Students learning SQL on realistic data sets
lowdb
- Node.js developers building small tools or prototypes that need simple persistent storage
- Projects where a full database server would be more setup than the job needs
- Developers who want to query data with native Array functions instead of a query language
- Test suites that need a fast in-memory store, using the Memory adapters
Strengths
DuckDB
- Runs in-process with no separate server and no external dependencies, according to the README
- Supports a broad SQL dialect including window functions, nested subqueries, and complex types
- Reads many file formats directly from local disk or cloud storage
lowdb
- Simple API: db.data is a plain JavaScript object, and writes are a single call
- Supports TypeScript so data shapes can be checked at compile time
- Adapters let you change the storage backend or file format
Not ideal for
DuckDB
- Teams needing a high-volume transactional database for many concurrent writers, since DuckDB is designed for analytics rather than OLTP workloads
- People who want a fully managed hosted service, because the README describes an embedded system and support options rather than a hosted product
lowdb
- Apps with large datasets or heavy concurrent writes, since the data lives in a single JSON file and the README lists limits around large objects and Node's cluster module
- Projects that need a real database server with multiple clients, indexes or transactions; the README does not describe these features
Trade-offs
DuckDB
- The README is truncated and gives little detail on performance trade-offs or limits, so claims about speed should be checked against benchmarks
- Advanced features like the quack protocol and lakehouse formats add complexity that beginners may not need
- Building from source requires CMake, Python 3, and a C++17 compiler
lowdb
- Built on a single JSON file, so it is not designed for large or highly concurrent workloads
- The package is pure ESM, which the README notes can cause trouble in some projects
Getting started
DuckDB
Clone the repository
git clone https://github.com/duckdb/duckdbFrequently asked questions
What is the difference between DuckDB and lowdb?
DuckDB: An in-process analytical SQL database that runs inside your app with no server to manage. lowdb: A small JSON-file database you use with plain JavaScript arrays and objects. DuckDB suits analysts who want to run sql directly on csv, parquet, or json files, while lowdb suits node.js developers building small tools or prototypes that need simple persistent storage.
Are DuckDB and lowdb free?
DuckDB: Free and open source. lowdb: Free and open source.
Is DuckDB or lowdb more popular?
DuckDB has more GitHub stars (42.7k) than lowdb (22.6k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to DuckDB and lowdb?
Other options people compare them with include Polars, Turso, Kysely, libSQL, NeDB.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.