If you've been working with Power BI for a while, you're used to .pbix files. They work, but they come with a significant limitation: they're binary blobs. You can't diff them, you can't merge them, and you definitely can't put them through a proper CI/CD pipeline.
That's where PBIP (Power BI Project) comes in.
What is PBIP?
PBIP is Microsoft's text-based project format for Power BI. Instead of a single binary .pbix file, your report is broken into a folder structure containing human-readable files:
My Report/
├── My Report.pbip
├── definition/
│ ├── report.json
│ ├── pages/
│ │ ├── page1/
│ │ │ ├── page.json
│ │ │ └── visuals/
│ │ │ ├── visual1/
│ │ │ │ └── visual.json
│ │ │ └── visual2/
│ │ │ └── visual.json
│ │ └── page2/
│ │ └── ...
├── My Report.SemanticModel/
│ ├── definition/
│ │ ├── model.tmdl
│ │ ├── tables/
│ │ │ ├── Sales.tmdl
│ │ │ └── Date.tmdl
│ │ └── relationships.tmdl
Every visual, every DAX measure, every relationship is a separate text file. This changes everything.
Why does this matter?
1. Version control finally works
You can commit your Power BI report to Git. When you change a single measure, the diff shows exactly what changed — not "binary file differs". Code reviews for Power BI become possible.
2. CI/CD pipelines
With text files, you can build automated pipelines that validate your reports, check for broken references, and deploy across environments. This is real DevOps for Power BI.
3. Automation tools can process your reports
Tools like Dummy BI Automate read PBIP folders to extract metadata, switch datasources, and generate documentation. None of this is practical with binary .pbix files.
4. Collaboration without conflicts
Multiple developers can work on different pages or measures in the same report without merge conflicts — something that was impossible with .pbix.
PBIP vs PBIR
You might also hear about PBIR (Power BI Report), which is the newer evolution of the report definition format within PBIP. PBIR uses JSON-based visual definitions instead of the older legacy format. Dummy BI Automate supports both the legacy PBIP format and the newer PBIR format.
Getting started with PBIP
- Open Power BI Desktop
- Go to File → Save as and choose Power BI Project (.pbip)
- Your report is now a folder of text files
- Initialize a Git repository in that folder
Once you have your report in PBIP format, you can use Dummy BI Automate to document it (25+ metadata sheets), switch its datasource, or run a health check — all from the same project folder.
The bottom line
PBIP is not just a file format — it's the foundation for treating Power BI development like real software engineering. If you're not using it yet, now is the time to start.