PostgreSQL VS debezium

While both Postgres and ClickHouse serve different purposes, the key distinction lies in how they handle replication and sharding. Postgres is primarily designed for transactional workloads (OLTP), where data consistency and durability are prioritized. On the other hand, ClickHouse is tailored for analytical workloads (OLAP), and optimized for high-speed querying and large-scale data analysis.

For your information, the tuplesort.c module flags when the Sort algorithm will use disk by setting the state to SORTEDONTAPE at this line. Disk interactions is handled by the logtape.c module.

This error happens when using a relational database, like PostgreSQL (one of the most popular, and advanced open-source SQL databases on the market).

This tutorial is going to use Postgres for its database because it is well battle-tested, but you're going to use the Prisma ORM to abstract away the database layer. This gives you the flexibility to use a variety of databases, and simplifies the API that you use to interact with it.

Yes, it's a balancing act. I think it's better to have safer defaults here, not prioritizing extra performance. People who are concerned with performance to the degree where checksums would matter need to consult configuration anyway (in many aspects, not only this one) and can disable this specific thing easily.

For the reference, change is in https://github.com/postgres/postgres/commit/04bec894a04c (so should land in PostgreSQL 18 in a year, unless it will get reverted for some reason).

PostgreSQL, commonly referred to as Postgres, is a powerful, open-source relational database management system (RDBMS) known for its robustness, extensibility, and standards compliance. It was introduced in 1986 by Michael Stonebraker and his team at the University of California, Berkeley, as part of the POSTGRES project, which aimed to address some of the limitations of existing database systems at the time.

PostgreSQL: An open-source object-relational database management system, used early on by Uber.

PostgreSQL

Link: https://www.postgresql.org/

When building web applications, authentication is almost always a core requirement. I needed something simple and secure that would let me get started quickly on new projects without over-complicating the setup. My goal was to have a solution that's easy to implement, handles email verification out of the box, and just works. In this post, I'm sharing how to build a straightforward magic link authentication system using Next.js, Auth.js, Prisma, PostgreSQL, and Resend. It's a powerful yet simple solution that accomplishes exactly what I needed, and I hope it'll be useful for your projects too.

Debezium

This kinda misses the point, usually you don't want a "delete" in your app, you want an "archive". E.g. given the example it's often desirable to still know that a user used to be part of a group, or to later un-archive the group.

I'd also recommend against doing audit logging on the application level if you want any kind of coverage, it's to easy to forget or work around. Database triggers or a CDC solution like Debezium [1] have more certainty and as a bonus don't require adding the audit functionality to each individual model.

[1] https://debezium.io/

They manage data in the application layer and your original data stays where it is. This way data consistency is no longer an issue as it was with streaming databases. You can use Change Data Capture (CDC) services like Debezium by directly connecting to your primary database, doing computational work, and saving the result back or sending real-time data to output streams.

Both of these articles mention a key player, Debezium. In fact, Debezium has had a place in the modern infrastructure. Let's use a diagram to understand why.

This might be overkill, but you could use an extra tool like https://debezium.io to capture logs about all creates, updates, and deletes in your table

If you're considering a relational database for an event-driven architecture, check out Debezium. It lets you stream changes to relational databases, and subscribe to change events.

Debezium

https://debezium.io/ comes to mind as an open source product, but there are a gazillion of these tools out there.