If you have ever taken over a legacy Bubble project, attempted a database remodel, or tried to hunt down a specific query killing your WU, you know the pain.
The standard tooling to visualize and optimize your data architecture simply doesn’t exist. You are flying blind. Everyone has developed their own “dark magic” ways of understanding data flow.
The Engineering Gap:
If you’ve worked with standard NoSQL databases or GraphQL, you expect to see metrics like Query Pattern Frequency, Field Usage Frequency, Read/Write Ratios, and Schema Visualizations. You wouldn’t optimize or scale a backend without them.
Bubble is powerful because it manages so many tools and DevOps, abstracting the complexity into a visual editor. It’s built for development speed, and simplicity, not for optimization.
The Bubble database interface is great for creating the database. But once you need to see how your data is mapped or used, you can easily get sucked into a time black hole.
We are bringing standard database modeling and engineering tools to Bubble, tailored for Bubble-specific nuances.
Inside the Data Modeling (Beta):
- The Schema Visualizer:
See your data types, relationships, and dependencies in a live map. - Query Analysis:
See how you’re calling the database. We break down read operations by Data Type, Field, Page, Trigger, and Query Pattern. - Usage & Dependency Analysis:
See how you interact with the database across all CRUD operations. Track every field to know exactly where, how it is used, and warning if you’re using a deleted field. - Database Authorization & Privacy Roles:
Audit all your privacy roles, public data types, authorization metrics, and dangerous configurations in one simple view. - Data Type X-Ray:
A complete 360° view of a single data type: Schema, Relationships, CRUD operations, Query Analysis, Usage, Privacy Roles, and Change Logs.
All views come with powerful filters to filter your database operations by data type, page, triggering element, if nested query, and many more.
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We need your eyes.**
We have built the metrics that NoSQL architects expect. Now we need to know what Bubble-specific nuances you are missing.
Look at the screenshots below. What is the one metric you wish you could see right now? and how can we improve your data modeling experience?
Join the Architect’s Beta:
https://www.maatstack.com/beta
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Project Code: Ptah ☥
Internally, we call our Data Modeling engine “Project Ptah”. named after the Architect of the Gods and the Patron of Craftsmen. His wisdom built monuments that have stood for 7,000 years (like The Great Pyramids). We are aspiring to bring you the same level of structural integrity and sustainability to your Bubble App.