TablePlus VS PostgreSQL

https://tableplus.com/

It was oddly hard to find a DB editor, I needed something as slick as ArcType -- a feature packed DB editor that is recently shut down. Ideally, it would have been a vscode extension like Docker/Kubernets so I could stay in my IDE but failing to find a good looking one there, I opted to find an application.

Tried, Azure Data Studio and DBVis.com but finally happy with TablePlus. It is a freemium model but i'm okay with two windows and two tabs.

I'm using Table Plus to connect to the RDS Postgres database, you could use any Postgres Client.

This is great, especially to introduce new devs to models. I use (and love) TablePlus (https://tableplus.com/) which has a diagram generator plugin that does the same!

Home page: https://tableplus.com/

Tools like TablePlus, DBeaver, or HeidiSQL provide visual query building interfaces. While not performance analysis tools per se, they can help you build and understand complex queries more easily.

TablePlus first greeted the world in 2017 and is the newest addition to the list. The UI is simple and sleek without any redundant modules, making it quick and easy to get started with.

TablePlus (https://tableplus.com/) is my current goto - even has a nice iOS app for on the run queries. I have fond memories of Sequel Pro and this app scratches that itch.

Starting in 2017, TablePlus is the newbie on the list, and its modern and simple UI reflects it. It supports most relational databases and some NoSQL ones. When they just started, they only supported macOS, but it is now available on Windows, Linux, and iOS (!). It is not open-source, but the roadmap is open and anyone can open an issue on their GitHub Issue Tracker. TablePlus has two plans: a free tier (has no limit on trial time) and a paid subscription model (license) with extended features.

DBngin also happens to be made by the company behind my favorite database GUI tool, TablePlus. If you use TablePlus, you can click on the arrow next to the "Start/Stop" button and open the database right in TablePlus.

Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance

PostgreSQL

The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.

Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

Node.js, MySQL and PostgreSQL servers installed on your machine

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.

A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq: