If your Bubble app feels slow, messy, or hard to secure, the problem probably isn’t your workflows, it’s your database.

Most founders design their data types without thinking about performance or privacy until it’s too late.

Here are two database principles that can save you months of refactoring and headaches.

1. Use “Satellite” Data Types to Keep Your App Fast

Introduction

One thing most founders don’t realize about Bubble is how it loads data.

When Bubble fetches something from the database (for example, a list of Users), it doesn’t just load the fields you display on the screen.
It loads the entire data object into memory, every field, even the ones you don’t need yet.

This means that if your main data types become too large, every simple page (like a list of users) becomes heavier and slower over time.

That’s why using satellite data types is so powerful.

A satellite data type is a smaller data type that holds secondary or rarely-used information and is connected to a main one through a relationship. Instead of putting everything into User, you split your data into focused pieces that are only loaded when needed.

This keeps your pages fast and your database clean as your app grows.

Example: Social Media App (When to Do It)

Imagine you’re building a social media app where users can follow each other.

On your “Discover Users” page, you only want to show:

• Profile picture

• Name

You do not need:

• Description

• Address

• More information

But if all of that data lives in the same User data type, Bubble will still load everything for every user in the list.

Bad design:

User

• name

• profile_picture

• age

• description

• address

• more_information

Repeating group:

Do a search for Users

Even though you only show name and picture, Bubble loads:

• long text fields

• extra personal data

• unused information

This increases memory usage and is one of the most common reasons Bubble pages become slow.

Better Design with Satellite Data Types

Instead, you split your data like this:

User

• name

• profile_picture

• age

UserProfileDetails (satellite)

• user (User)

• description

• address

• more_information

Now:

• The Discover page loads only lightweight user data

• The Profile page loads the extra details when someone clicks into it

You get:

• Faster pages

• Lower memory usage

• Cleaner data structure

• Room to grow without rebuilding later

This is especially valuable in apps like:

• Social networks

• Marketplaces

• Directories

• Community platforms

Anywhere you list many users or items, satellites make a big difference.

When NOT to Use Satellite Data Types

You should not use satellite data types for:

• Core fields always needed (name, email, role)

• Small, simple values

• Data used on almost every page

• Temporary UI data

Creating too many satellites can make your app harder to manage. The goal is clarity, not complexity.

A simple rule:

If you don’t need it every time you load the main object, it probably belongs in a satellite.

Conclusion

Bubble loads full data objects into memory, not just the fields you display.
If your main data types grow too large, your pages quietly become slower and more expensive to run.

Satellite data types help you:

• Load only what you need

• Keep pages fast

• Structure your data logically

• Scale without painful refactors

They are not just a database trick, they are a performance strategy for founders building real products.

2. Design Your Database With Privacy Rules in Mind

Introduction

Another common founder mistake is building the database first and worrying about privacy later.

In Bubble, privacy rules depend entirely on how your data is structured.
If your data types don’t clearly show who owns what and who can access what, your privacy rules become complicated or unsafe.

The best approach is to design your data types with privacy in mind from day one.

Every important data type should answer three questions:

• Who owns this data?

• Who should be able to see it?

• Who should be able to change it?

If your database can’t answer these easily, your privacy rules won’t either.

Example: Team-Based App (When to Do It)

Let’s say you’re building a SaaS app for teams.

Poor design:

Project

• name

• description

• status

There is no link to a User or a Team.

Later, you want this rule:

Only team members can view and edit their projects.

But your database has no idea who owns a project. You now need complex searches and conditions to figure it out. This leads to:

• Slow rules

• Hard-to-read logic

• Security risks

Good design:

Team

• name

• members (list of Users)

Project

• name

• description

• team (Team)

• created_by (User)

Now your privacy rule becomes simple:

A Project is viewable only if
Current User is in Project’s Team’s members

This is:

• Easy to understand

• Fast

• Secure

• Scalable

Your database structure makes your privacy rules almost automatic.

When NOT to Over-Engineer Privacy

You don’t need complex privacy rules for:

• Public content (blog posts, templates, marketing pages)

• Data meant to be visible to everyone

• Temporary or helper data types

• UI-only logic

Also avoid:

• Privacy rules based on email or text fields

• Rules that require multiple nested searches

• Rules that depend on page state

If your privacy rule feels like a paragraph, your database design probably needs improvement.

Conclusion

Privacy rules are not something you “add later.”
They are the result of good database design.

When you design your data types with ownership and access in mind, you:

• Make your app safer

• Keep your rules simple

• Improve performance

• Avoid future rewrites

A well-designed Bubble database makes privacy rules feel natural.
A poorly designed one forces you into fragile and complex logic.

Thinking about privacy early is one of the most valuable decisions a founder can make.