samples VS PostgreSQL

Have a look at Linx - a low-code integration platform. You can use it to build any custom connector* and the price is very affordable.

If you haven't decided on the backend yet, check out https://linx.software/. It allows for flexible backend development, think of it as a low code development tool that allows for flexibility similar to coding.

Sage Intacct is one of the largest cloud-based accounting systems, offering a web service to facilitate integrations. This post covers how you can consume the Sage Intacct web services with Linx, a low-code backend platform.

I recently worked on an integration where a system had to retrieve data from Sage Intacct. I made my solution in Linx, as it is my preferred tool for developing these integrations.

Linx I used Linx to build my API, implement the logic, debug it and finally to host it. Quick note, you can also try your hand at building an API with this guided tutorial.

But besides building fast, low code is also about building right. These platforms eliminate many of the technical aspects of the API lifecycle, giving the developer much more control and visibility into the development process. They also are massive time-savers when faced with production. Platforms like Linx and Outsystems go even further, allowing you to build surprisingly powerful applications. They have several core features, such as integrating all types of data formats and providing prebuilt services and functionality to create complex - and often custom - backend applications.

Linx

This is where I feel that Stadium does a good job. It allows you to create web applications without restricting you to a specific path. You can create a simple application that will replace or enhance your MDS functionality, you can create dashboards, create pages that will assist users with business processes or create a file management system where users can upload and maintain files to be loaded into the database via your back-end processes. Stadium also works great with any back-end, but I highly recommend trying Linx with Stadium.

The reasons to build an API in low-code are plentiful, but it mostly comes down to the time saved and simplicity. Tools such as Linx are a great fit for API development. It is a low-code tool for creating back-end processes, but it can also host and call web services. Some things you can do with Linx: Read, Create and alter files, perform data operations such as database read and write operations, integrate several different services and more.

Then you can use something like Linx (https://linx.software/) to extract the data from google sheets using the Google Sheets Plugin: https://linx.software/docs/6/reference/plugins/googlesheets/overview/?utm_source=linx6&utm_medium=designer&utm_campaign=help If you then need to, you can also use Linx to get the data into a specific excel sheet (if you can't recreate the financial model sheet in google sheets and need to use specific excel functionality). Linx also has a plugin for this

Every time I buy a new computer, the first thing I install is the servers for MySql and Postgres, the two most common databases. This way, I can start the databases with a simple command like this:

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).