July 28th, 2024

SQLite vs. PostgreSQL

SQLite is ideal for simple, self-hosted projects with low latency, while PostgreSQL is better for applications needing advanced features and geographical distribution. The choice depends on project requirements.

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SQLite vs. PostgreSQL

SQLite and PostgreSQL are two popular database options, each with its strengths and weaknesses. SQLite is often sufficient for many software projects, especially in self-hosted environments, due to its file-based architecture that allows for virtually zero latency between the application and the database. It simplifies backup processes since it operates as a single file, making it easy to manage. However, SQLite lacks built-in support for materialized views and has limitations in replication capabilities, which can be a drawback for applications requiring geographical distribution.

On the other hand, PostgreSQL offers robust features such as native support for materialized views and easier replication, making it suitable for applications that need to reduce latency across different locations. While PostgreSQL may introduce slightly more management complexity, it is still relatively easy to set up.

In summary, choose SQLite for projects prioritizing simplicity, low latency, and self-hosting, while PostgreSQL is preferable for applications needing geographical distribution and advanced features like materialized views. Ultimately, the choice may also depend on personal preference if neither factor is critical to the project. Both databases are effective options depending on the specific requirements of the application.

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By @strken - 4 months
I like both databases, but there are some downsides and/or gotchas to SQLite that aren't covered here. Examples are:

- forgetting to use STRICT

- realising you actually did need complicated concurrency options like SKIP LOCKED or multiple writers

- discovering you need to add a read-only user for an analytics tool and suddenly everything becomes a lot harder because SQLite doesn't do networks or replicas or users

There are also certain things that have workarounds but aren't nice to work with, like FULL OUTER JOIN or ALTER TABLE.