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SQLitevsPostgreSQL
What is the difference between SQLite and PostgreSQL?
Updated 3 min read8 differences
In short
SQLite is a database library that keeps everything in one file inside your app; PostgreSQL is a database server that many clients use over the network.
SQLite
SQLite is a small SQL database engine that runs inside your application and stores a whole database in a single file, with no separate server to manage.
Read the page on SQLitePostgreSQL
PostgreSQL is a free, open-source relational database known for reliability, strict standards support and extensions, and widely used for web applications.
Read the page on PostgreSQLSQLite and PostgreSQL compared
| Aspect | SQLite | PostgreSQL |
|---|---|---|
| Architecture | A library inside your application | A separate server that clients connect to |
| Storage | One ordinary file on disk | A data directory managed by the server |
| Setup | None: open a file and start | Install, configure, then create users and databases |
| Concurrent writes | One writer at a time; readers keep going in WAL mode | Many writers at once, thanks to MVCC and row-level locks |
| Typing | Flexible by default; STRICT tables enforce types | Strict types, plus arrays, jsonb, ranges and custom types |
| Access control | File permissions only | Roles, privileges and row-level security |
| Scaling | One machine; replication through add-on tools | Built-in replication, read replicas and partitioning |
| Best for | Phones, desktop apps, embedded systems, tests and small sites | Web backends and systems shared by many users |
The difference, explained
SQLite is an embedded database: a small library linked into your program, which reads and writes one ordinary file holding every table and index. PostgreSQL is a client-server database: a separate server process owns the data, and applications connect to it over the network with a user name and password. Both are relational, speak SQL and support ACID transactions.
The difference comes from where each is meant to run. SQLite has nothing to install or configure, so it suits phones, desktop apps, browsers, tests and small websites, but it allows only one writer at a time and has no user accounts or network access of its own. PostgreSQL is built for many users at once: MVCC lets readers and writers work concurrently, roles control who may do what, and replication spreads the load across servers.
Their SQL differs too. SQLite uses flexible typing, so by default a column declared INTEGER can still hold text unless the table is declared STRICT, and its ALTER TABLE support is limited. PostgreSQL enforces types strictly and offers much more on the server side: arrays, ranges and custom types, many index types, stored procedures, fine-grained permissions and extensions such as PostGIS and pgvector.
A common misconception is that SQLite is only for prototypes. It is extremely well tested and runs in production on billions of devices and on many websites with moderate traffic. The real questions are concurrency and deployment: one machine with mostly reads favors SQLite, while many simultaneous writers or several application servers sharing data favor PostgreSQL. Many products use both, SQLite inside a mobile or desktop app and PostgreSQL on the server it syncs with.
Which one should you use?
Choose SQLite when…
- The database lives on one device, such as a phone, a desktop app or an embedded system.
- You want zero setup: no server to install, secure or keep running.
- Traffic is mostly reads, with a modest number of writes.
- You want the whole database in one file you can copy, back up or ship.
Choose PostgreSQL when…
- Many users or several application servers write at the same time.
- You need user accounts, permissions or access over the network.
- You want advanced types, extensions such as PostGIS, or built-in replication.
Opening a database and running a query (Python)
# SQLite: the database is a file; the library reads it directly
import sqlite3
con = sqlite3.connect("shop.db") # creates the file if needed
rows = con.execute(
"SELECT name, price FROM products WHERE price < ?", (50,)
).fetchall()# PostgreSQL: connect over the network to a running server
import psycopg
with psycopg.connect("postgresql://shop:secret@db.example.com:5432/shop") as con:
rows = con.execute(
"SELECT name, price FROM products WHERE price < %s", (50,)
).fetchall()Readers ask
Can SQLite replace PostgreSQL?
For an app on a single server with moderate traffic, often yes, and it simplifies operations. When many processes write at once or several servers need the same data, PostgreSQL is the safer choice.
Is SQLite faster than PostgreSQL?
For simple queries on one machine it is often faster, because there is no network round trip or server process in between. Under heavy concurrent writes or complex analytical queries, PostgreSQL usually comes out ahead.