Grzegorz Bartman

Switching from WordPress to Drupal raises many concerns. Will the migration be too complicated? Will I find equivalents for the tools I use every day? In this article, I compare five of the most important WordPress tools with their Drupal counterparts: Custom Post Types, ACF, WP Query, WP Forms, and Page Builders like Elementor. For each one, I show what working in Drupal looks like with real examples and a live demo in Drupal CMS.

Handling multiple domains within a single CMS is a challenge many organizations face. Choosing the right architecture at the start of a project can save significant time and money. Drupal offers three proven approaches: multisite, Domain Access, and headless CMS. In this article, I'll compare their strengths and weaknesses, show real-world implementation examples, and help you decide which approach works best for different business scenarios.

Which hosting to select for Drupal? This is one of the most frequently asked questions among people starting their work with this CMS. In this article, I'll explain what to pay attention to when choosing Drupal hosting and provide a brief overview of available options – based on 15 years of experience implementing Drupal for clients from Poland and abroad. I invite you to read the post or watch the [ from the Nowoczesny Drupal series.

Attu is a powerful tool that greatly simplifies working with the Milvus vector database. Instead of writing Python code or using the API, you can manage collections, search for vectors, and monitor the system using an intuitive graphical interface. Thanks to Attu, working with Milvus becomes accessible not only to experienced developers, but also to data analysts and AI project managers.

Changing the agency that supports your Drupal system or obtaining quotes from several companies usually requires sharing the technical details of your project. The problem is that the database contains customer data, the configuration stores API keys, and the custom code reveals the company's business logic. In this article, I’ll show you an open source tool that solves this problem. Druscan collects all the technical information needed for analysis, while protecting sensitive data.

Modern corporate intranets store vast amounts of documents, procedures, instructions, and organizational knowledge. Traditional keyword-based search often fails when users search for information using terms other than those found in the documents.

Vector databases have become a key component of modern AI applications in Drupal. Thanks to integration with the AI Search module, they enable semantic content search, reduction of hallucinations in AI chatbots, and implementation of advanced RAG (Retrieval Augmented Generation) functions. Choosing the right VDB provider can significantly impact the performance, cost, and scalability of your AI solution in your Drupal project.