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Most buyers should pick DuckDB.
Choose DuckDB for analytical SQL, local data wrangling, and reading or writing formats such as CSV, JSON, Parquet, and Iceberg. It runs in-process and offers APIs for Python, Go, Java, Node.js, and Rust. Choose SQLite when your application needs a self-contained SQL engine as a C library. Its source is public domain, and it is built into mobile phones and most computers. Both can be self-hosted and used without a required database subscription.
01Side by side
| DuckDB | SQLite | |
|---|---|---|
| Pricing model | Free MIT project; no paid plans published | Free core; paid support and optional products |
| Free tier | Free for personal and commercial use | Public-domain core is free for any use |
| Open-source licence | MIT-licensed; governed by the DuckDB Foundation | Public-domain source; free for any purpose |
| Self-hosting | Deploy in-process, on devices, or on servers | Embed the C library in applications |
| API and SDKs | APIs for Python, Go, Java, Node.js, Rust | C library with documented C/C++ interfaces |
| CLI and docs | CLI, language clients, and documentation | CLI, documentation, and SQL references |
| Integrations | Lists cloud, database, language, and format integrations | Built into mobile phones and most computers |
| Deployment model | In-process analytical SQL database; scales to servers | Self-contained SQL engine implemented as a C library |
DuckDB Choose DuckDB if
- Choose DuckDB if you need in-process analytical SQL.
- Choose DuckDB if you work with CSV, JSON, Parquet, or Iceberg.
- Choose DuckDB if you want APIs for Python, Go, Java, Node.js, or Rust.
SQLite Choose SQLite if
- Choose SQLite if you need a C library inside your application.
- Choose SQLite if public-domain source code matters.
- Choose SQLite if you want SQL storage embedded in an application.
02Pricing at real usage
DuckDB is free and MIT-licensed for personal and commercial use. Its pricing information lists no paid plans or usage limits, so the published cost does not rise with queries, data volume, or compute. The project has no monthly or annual billing.
SQLite's core source is public domain and free for any purpose. The optional costs are for support, extensions, or other services, not for core database usage. The Annual Maintenance Subscription is $1,500 per year for one development team, one contact, and up to 20 contact hours. Standard Technical Support is listed at $8,000 for one year; custom packages generally range from $8,000 to $35,000 per year. The SQLite Encryption Extension is a one-time $2,000 fee for a one-team source-code license. These prices do not describe per-seat or usage-based billing.
03API, SDKs and integration
DuckDB runs as an in-process analytical SQL database and offers idiomatic APIs for major programming languages. Its install options include the CLI, Python, Go, Java, Node.js, ODBC, and Rust. The homepage lists a PostgreSQL-inspired SQL language and integrations across AWS, Azure, Google Cloud, databases including SQLite, MySQL, and PostgreSQL, and formats such as CSV, JSON, Parquet, and Iceberg. Extensions can add functions and format support.
SQLite is a C-language library that implements a SQL database engine. Its site documents C-language APIs, a CLI, a TCL interface, SQL syntax, functions, and pragmas. The homepage says SQLite is built into all mobile phones and most computers and bundled inside many applications. It does not list third-party integrations. These are different integration shapes: DuckDB offers multiple language clients and data-format connections; SQLite is a library for embedding in an application. Check each project's documentation for the API and SQL behavior your code depends on.
04Open source, self-hosting and lock-in
DuckDB is MIT-licensed, and the DuckDB Foundation governs the project. It can run in-process or be deployed on devices and servers. SQLite is a C library whose source code is in the public domain, free for any purpose. Its self-contained design supports embedding the engine in applications.
Both can be self-hosted, so neither requires a hosted database service in the described deployment model. DuckDB reads and writes CSV, JSON, Parquet, and Iceberg, including locally or in object storage; those formats give teams documented paths for working with data outside the database. The SQLite homepage describes its SQL engine and C APIs but does not specify export formats. Do not assume the two engines are drop-in replacements: plan to check SQL usage, application calls, and data movement before migrating. Confirm connector behavior in DuckDB's docs when connecting to SQLite.
Questions people ask
What is special about DuckDB?
DuckDB is an analytical SQL database that can run inside an application. It reads and writes CSV, JSON, Parquet, and Iceberg, and provides APIs for languages including Python, Go, Java, Node.js, and Rust. That combination makes it a fit for analytical data work without requiring a separate database server.
What are the downsides of using SQLite?
SQLite is presented as a C-language library, not as a database with the multiple language clients and data-format support DuckDB lists. Its homepage does not list third-party integrations. Teams evaluating it for analytics or format-heavy data workflows should check whether its API and data handling meet their needs before choosing it.
Can DuckDB read SQLite?
DuckDB's homepage lists SQLite among its database integrations, but does not specify whether that means direct file reading, a connector, or another workflow. Check DuckDB's documentation for the current SQLite integration and its supported operations before designing a migration or data pipeline.
Should I use DuckDB or SQLite for an application?
Use DuckDB when the application needs analytical SQL and work across formats such as Parquet or Iceberg. Use SQLite when you want a self-contained SQL engine implemented as a C library. Both can be embedded or self-hosted; choose based on the workload and the APIs your application needs.