Introducing VDAB, the Visual Data App Builder

Author: Tom Campbell

23 July, 2026

For years, data teams have been asked to do more than just manage data. They build pipelines, clean data, create dashboards, support AI initiatives, answer business questions, and now they are also asked to build applications.

That creates a real challenge. A great data engineer may be excellent with SQL, Python, Spark, Databricks, Delta tables, and Unity Catalog. But building a usable business application requires a different set of skills, from designing the user experience to creating workflows, forms, screens, and interactions that feel natural to the people using them.

At Xorbix, we often see this gap. Companies have valuable data in Databricks, teams that understand that data, and business users who need better ways to work with it. But turning that foundation into a production-ready application can still take too long.

That is why we are introducing VDAB, the Visual Data App Builder.

VDAB is a low-code / no-code platform designed to help data teams build, deploy, and manage production apps directly on Databricks. It is built for teams that want to move faster without giving up governance, security, or control.

What Makes VDAB Different

VDAB is designed specifically for Databricks.

There are many low-code tools and vibe coding tools on the market. But Databricks teams have specific needs. They care about data governance. They care about Delta tables. They care about SQL Warehouses. They care about security, permissions, and keeping data close to where it already lives.

VDAB is not trying to be a generic app builder with a long list of connectors. It is focused on helping teams build apps for Databricks.

With VDAB, the goal is simple: help data teams go from idea to usable app in minutes, not days.

A data engineer can build a governed app without becoming a frontend developer. An analytics engineer can turn Delta tables into workflows that the business can use. A data team lead can reduce the time and cost of delivering internal tools. A business power user can describe what they need to VDAB’s AI Chat Builder and get a working app.

The AI Chat Builder is one of the most exciting parts of VDAB.

Instead of starting with a blank screen, users can simply describe the app they want in plain English. VDAB then generates the initial app for them, giving users the option to use it as-is or treat it as a starting point to be refined and visually customized.

Instead of saying, “Let’s gather requirements, design the UI, write the frontend, connect the backend, test it, and then deploy,” teams can start with, “Describe the app you need, generate the first version, and refine it with VDAB’s visual tool.”

Data teams need better ways to build applications on top of their data.

VDAB is built for them.

It gives data teams a faster way to build useful applications while staying close to Databricks, the data, and the governance model the business already trusts.

Ready to Build Databricks Apps Faster?

At Xorbix, we have spent years building custom software, data platforms, AI solutions, and Databricks implementations for our clients. We know that every company has unique processes, unique data, and unique challenges.

We also know that speed matters.

Companies cannot afford to wait months every time a team needs a new internal tool, workflow, or reporting application. Data teams are often stretched thin, business users need answers faster, and too many important processes still depend on emailed spreadsheets, disconnected files, or manual workarounds. The data already exists within governed platforms like Databricks; VDAB helps turn it into useful applications faster.

VDAB is built for data engineers, analytics engineers, data team leaders, and business users who want to turn Databricks data into real applications.

Xorbix is excited to introduce VDAB and help organizations build Databricks apps faster and visually.

Learn more about VDAB at https://vdab.ai or contact Xorbix Technologies to learn more about how we can help your team build production-ready Databricks apps faster. 

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