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by TekMol 579 days ago
Are there still reasons to use PostgreSQL?

I like the simplicity of SQLite's "a file is all you need" approach so much, that I started to converge all my projects to SQLite. So far, I have not come across any roadblocks.

Can anyone think of a use case where PostgreSQL is better suited than SQLite?

8 comments

The biggest one is redundancy. Architecting with Read replicas is much easier with Postgres than Sqlite because of it's server model.

Sqlite on the server is a fantastic starter database. Dead simple to set up, highly performant and scales way higher (vertically) than anyone gives it credit for.

But there certainly is a point you'll have to scale out instead of up, and while there are some great solutions for that (rqlite, litefs, dqlite, marmot) it's not inherent to Sqlite's design.

rqlite[1] creator here, happy to answer any questions about it.

[1] https://rqlite.io

Should replication really be a concern of the DB layer?

Replication means writing queries which alter the data to multiple machines, right?

Shouldn't that be done by a software one level up? Which takes in the queries via some network protocol and then sends them to all machines.

That would sound more logical to me.

Historically, yes. Databases were software that were concerned with both storage and networking.

It's fine to want to separate those out, but it's not easy to do so and there are reasons they've been coupled for decades.

What makes it hard?

Having a single DB that takes write queries via a proxy which spreads them out to multiple read-only-DBs sounds easy at first.

When do you consider the write/transaction to be completed?

What do you do about out-of-sync read replicas?

ACID gets real hard real fast when introducing replication.

> When do you consider the write/transaction to be completed?

Sending a UPDATE/INSERT/DELETE statement to SQLite is not blocking? I would think it is, because in my code I can read the number of affected rows right after I sent the query.

> What do you do about out-of-sync read replicas?

Delete them and replace them by uploading a checkpoint and replaying a log of the queries since then.

Sometimes you have applications that should not be able to access an entire database. There are other various scaling reasons, and PG extensions that can be helpful. But I agree that for small to medium sized projects, SQLite is highly underrated.
When your application scales beyond one machine that needs access to the same database, PostgreSQL becomes an obviously better choice than SQLite. Until that point, SQLite is a fine, and honestly underrated choice.

DuckDB is another option worth considering.

Should the concept of "machines" really be a concern of the DB layer?

SQLite already allows multiple connections, so putting it on a server and adding a program that talks a network protocol and proxies the queries to the DB sounds more logical to me?

And after all of that you basically have something that looks like postgres or mysql.
My feeling is that I would have something better.

Because I can use SQLite and its "a file is all you need" approach as long as I don't need multiple machines.

And only bring in the other software (the proxy) when I need it.

High performance software is written acknowledging the reality that it will run on hardware. Databases tend to be a class of software that is hyper-focused on performance.

Writing a networked application that uses SQLite as a database is perfectly reasonable. You're just making the decision to lift the layer of abstraction that is concerned with machines from the DB to your application, which may or may not be a reasonable thing to do.

Certainly if you need a network-attached database and aren't creating your own home brew network-attached database (the so-called API server), Postgres is a pretty good choice.
MySQL has limited spatial data/function support versus PostGIS extension.
Jeebus i keep forgetting how many of you are bootcamp noobs here
Maybe so but this isn't helpful.
Concurrency.