For a small experimental project, choose SQLite when the application and database will run on the same device or host, writes are brief enough to take turns, and avoiding a separate database service is valuable. Choose PostgreSQL when multiple clients need a shared database over a network, concurrent writes are important, or your design depends on PostgreSQL’s richer data types and features.
“Small” by itself does not settle the choice. The more useful questions are where the database will live, how many clients need to reach it, and what the workload and schema require.
How SQLite and PostgreSQL differ
SQLite is an embedded library: the application reads and writes a local database file, with no separate database server process. PostgreSQL is a client/server database: a server process manages the data and handles connections from applications, including clients on other machines. The distinction is architectural, not simply a matter of project size. SQLite describes its design as an in-process, serverless library; PostgreSQL documents its client/server architecture.
The SQLite project sums up its intended role with the line, “SQLite does not compete with client/server databases. SQLite competes with fopen().” In other words, SQLite is especially compelling as application-local storage; PostgreSQL is built to provide a shared database service. SQLite: Appropriate Uses For SQLite
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Which database should I use for a small project?
| Decision factor | SQLite is a better fit when… | PostgreSQL is a better fit when… |
|---|---|---|
| Where it runs | The application and database are on the same device or host, and a self-contained file is useful. | Separate clients need a shared database service, particularly across a network. |
| Writes | Writes are short and can queue behind one writer at a time for the database file. | Many clients need concurrent access or you expect a write-heavy workload. |
| Operations | You want to avoid operating a separate database service for a local experiment. | You can deploy and administer a server to provide shared connections and network access. |
| Schema and features | Flexible typing is acceptable, or you will explicitly enforce and test your constraints. | You need native typed or specialized features such as booleans, date/time, UUID, JSONB, or text search. |
| Future destination | The application is likely to remain on SQLite, or you are prepared to test cross-engine behavior. | PostgreSQL is the intended production database, or PostgreSQL-specific behavior is part of the design. |
These are workload choices, not a universal ranking. If the project starts as a local tool and remains local, SQLite’s simplicity is a practical advantage. If it needs shared remote access from the outset, PostgreSQL is usually the more direct fit.
How much write concurrency does the project need?
SQLite allows unlimited simultaneous readers but only one writer at a time per database file. That does not automatically rule it out for a multi-user application: when write transactions are brief, writers can queue and take turns. The warning sign is simultaneous write demand that cannot tolerate waiting. SQLite’s appropriate-use guidance explains this limitation.
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PostgreSQL uses multiversion concurrency control (MVCC). Its documentation explains that ordinary reads do not block writes, and writes do not block ordinary reads, because statements see data snapshots. This supports workloads with concurrent readers and writers, but does not mean every operation is lock-free: PostgreSQL also has row, table, and advisory locks, and transaction design still matters. PostgreSQL 18: Introduction to Concurrency Control
What to know about types and constraints
SQLite’s flexible typing
SQLite uses flexible typing by default. For example, a nonnumeric string inserted into a column declared INTEGER may be stored as text instead of being rejected. Applications that need stricter enforcement can use STRICT tables, introduced in SQLite 3.37.0 on 2021-11-27. SQLite has no separate BOOLEAN or DATETIME storage class; dates and times can be represented as ISO-8601 text, Unix-time integers, or Julian-day real values. SQLite: Quirks, Caveats, and Gotchas
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Foreign keys require explicit enforcement
SQLite parses foreign-key constraints, but enforcement is off by default for compatibility reasons. Enable it at runtime with PRAGMA foreign_keys and make that setting part of application setup and testing rather than assuming constraints are active. SQLite’s quirks documentation
PostgreSQL’s built-in types
PostgreSQL provides native boolean, date, time, timestamp, uuid, json, and jsonb types, among others. If these or other PostgreSQL-specific capabilities matter to the experiment, develop and test against PostgreSQL early. PostgreSQL 18: Data Types
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Can you start with SQLite and switch later?
Yes, a later migration is possible, but do not assume it will be a drop-in change. SQLite warns that applications can encounter problems when moved to a stricter database if they rely on flexible typing. Differences in SQL behavior, constraints, date representation, and migration tooling can also matter. If PostgreSQL is the likely destination, run integration tests against PostgreSQL early enough to reveal those differences rather than treating a successful SQLite prototype as proof of compatibility. SQLite’s quirks documentation
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Do traffic and database-size estimates settle the choice?
No. The SQLite project’s guidance gives a conservative estimate of fewer than 100,000 hits per day (SQLite Project, 2025), while stressing that actual capacity depends on how heavily a site uses the database. It advises considering a client/server engine for write-intensive sites or sites that require multiple servers. This is not a capacity guarantee for a particular application or a directly comparable PostgreSQL benchmark. SQLite: Appropriate Uses For SQLite
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The same page gives a historical example of about 400,000 to 500,000 HTTP requests per day, with about 15–20% touching the database (SQLite Project, 2015). That example is historical context, not a forecast for a different deployment.
SQLite’s documented maximum database size is 281 terabytes (248 bytes) (SQLite Project, page updated 2025-05-31). Filesystem limits may be lower, and the project advises considering a client/server database as content approaches the terabyte range. A theoretical maximum is not a practical target for an ordinary experiment. SQLite: Appropriate Uses For SQLite
A practical decision checklist
- Choose SQLite if the database is local to the application and a single file with minimal operational overhead meets the need.
- Choose PostgreSQL if clients need shared network access, the workload needs concurrent writes, or the project depends on PostgreSQL’s types and features.
- Estimate write contention rather than relying on user count alone: SQLite allows one writer per database file at a time, while short writes can queue.
- If PostgreSQL is the planned destination, use it in integration testing from early in development.
- If using SQLite, explicitly configure and test foreign-key enforcement and any assumptions about column types.
The SQLite project describes its embedded, serverless model as “a feature, not a bug.” That is a useful framing when local storage is what the project needs; it is not an argument against PostgreSQL when the project needs a shared service. SQLite: Quirks, Caveats, and Gotchas
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