rel8 VS PostgreSQL

I also mention https://github.com/circuithub/rel8 on posts like these since I think it should be more well-known.

I'm sensing a trend here, but .... https://rel8.readthedocs.io/ because I wrote it ':D

Does this work with https://github.com/circuithub/rel8?

This quick start guide gets you up and running with Quarkus on macOS, including necessary tools. You will build a basic database application using Quarkus, Java 17, PostgreSQL, and Hibernate ORM Panache. While Hibernate ORM is the standard, powerful Jakarta Persistence implementation capable of complex mappings, it doesn't always make the most common tasks trivial. Hibernate ORM with Panache is Quarkus's solution to this, focusing specifically on making your data entities and repositories simple, straightforward, and fun to write by reducing boilerplate code for common persistence operations.

Hey everyone! I recently got fed up with waiting minutes for simple analytics queries to finish, so I threw together a little demo to see how SingleStore, MySQL, and PostgreSQL stack up against each other on a 110 million‑row banking transactions dataset.

In this tutorial, you'll set up a complete CDC pipeline using Debezium (version 3.1) with Kafka Connect to capture changes from a PostgreSQL database. By the end, you'll have a working system that streams every insert, update, and delete operation from your database into Apache Kafka topics.

// https://github.com/postgres/postgres/blob/9acae56ce0b0812f3e940cf1f87e73e8d5784e78/src/include/port/win32_port.h#L85 /* Windows doesn't have fsync() as such, use _commit() */ #define fsync(fd) _commit(fd) // https://github.com/postgres/postgres/blob/874d817baa160ca7e68bee6ccc9fc1848c56e750/src/port/win32fdatasync.c#L23 int fdatasync(int fd) { // ... status = pg_NtFlushBuffersFileEx(handle, FLUSH_FLAGS_FILE_DATA_SYNC_ONLY, NULL, 0, &iosb); // ... }

OpenBSD gives us good documentation as a series of the project. (For example, the man pages are cared and kept maintained.) It's applied to principal service packages as well as the OS. So is as to PostgreSQL.

See Configuration and syntax changes and Special packages. The latter this time includes PostgreSQL major upgrade:

Traditional databases — PostgreSQL, MySQL, etc. — store their data in proprietary formats. That format is optimized for that engine and can’t be directly accessed by anything else. Even if something like Trino can connect to Postgres, it’s still running queries through Postgres itself, not reading its storage directly. You’re just a client.

By making RisingWave compatible with PostgreSQL, we ensured that any developer familiar with SQL could immediately start writing streaming queries. This wasn't just about syntax; it meant RisingWave could plug seamlessly into existing data workflows and connect easily with a vast ecosystem of familiar tools like DBeaver, Grafana, Apache Superset, dbt, and countless others.

Another key “neighbor” is PostgreSQL, one of several database engines that can be configured to support jBPM’s underlying data structures: