PostgreSQL VS Couchbase

pg doesn't do too well with serverless, dead connections are left in the pool (or something)

https://github.com/brianc/node-postgres/issues/2112

If you don't want to use ORM then there are some other packages as well! For PostgreSQL we have node-postgres

Interface with PostgreSQL database

(Instead of the following with pg.)

So far every JS framework that uses https://node-postgres.com works great and so no reason to think Drizzle wouldn't.

One thing that keeps coming up is that SQL equals low productivity. I don't think this is true. I think the culprit is that most developers are using to heavily abstracting SQL using ORMs like Prisma that hides the database and SQL logic.

Since building a SQL generator (https://aihelperbot.com) as a side project, I have become much more proficient in SQL and even though I am also locked into Prisma, I use the `queryRaw` all the time to execute raw SQL queries. You can understand the code without knowing Prisma API. It is more performant. For more complex SQL queries, I use the SQL generator for initial suggestions and adapt if needed.

For the next projects I build I want to use the minimal Postgres client (https://github.com/brianc/node-postgres) combined with a lightweight migration library.

For newer projects I use the small Postgres client. Initially my leap into SQL was lead by AI but as I refreshed and relearned SQL, I now use a mixture of AI and self-written SQL queries. Something like this is just easier to have AI do the grunt work and then adjustment as needed.

This was a known issue for pg developers, and they managed to fix it a long time ago (at the pg level), but the knowledge of this problem didn't reach Knex maintainers.

Integrate the database into your application itself with a postgres client library allowing your applications to make infrastructure changes (like provisioning sharded resources for a client that wants isolation, or using a more accurate forecasting model to pre-allocate more resources before the storm hits).

node-postgres (raw sql, without ORM)

On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra.

Couchbase (Community Edition/Open Source but unofficial RN support)

In my previous article I wrote about how we implemented vectors-based semantic search in SQLite. Afterwards I asked myself what the best use case for this could be. My conclusion was to use the smallest database on the planet (SQLite) to automatically generate code for the largest database on the planet (CouchBase) 😁

With partial record updates, the problem simply vanishes more or less. To understand why, read the above article for details. Some NoSQL database systems do support partial record updates, such as CouchBase if I remember correctly, but most struggles with these kind of constructs.

Couchbase

Does this help? Also there is a sizing guide on https://www.couchbase.com

Learn how Gabriel Terwesten ended up creating their own version of a Couchbase package for Dart, and how to use it in your own project. It gives you offline first and full-text search , in a lite package.

Couchbase was originally developed by merging Membase, a fork of Memcache with on-disk durability, with CouchDB, a somewhat experimental document database written in Erlang. As such, it has a relatively tortured development history. It has adopted a relatively tortured transaction model as well.

You can reach us at https://www.couchbase.com or email [email protected] and a technical representative will be happy to discuss options!