Building the Product

My Bubble app slows to a crawl once I have a few thousand records. How do I fix performance without rebuilding in code?

A starting point

Most Bubble slowness is not the platform, it is unindexed searches, do-a-search-for calls nested inside repeating groups, and loading fields you never display. Add constraints so searches return dozens of rows not thousands, cache heavy results in custom states, and move anything batch-like into backend workflows. If you have genuinely outgrown that after tuning, that is a signal to move the hot path to code, not the whole app.

Go deeper

Hand-picked from around the web, each with a note on why it earns your time.

3 resources 3 link-checked Watch Read Use

Watch

▶️ Video
✓ Link checked Free Intermediate

Why we picked it When a page feels slow, part of the fix is doing less work while the user waits, and this walkthrough shows how to move heavy operations (bulk creates, edits, long processes) into backend workflows so they run server-side instead of blocking the page render. It is a hands-on screen recording aimed at non-technical founders, so you can follow along in your own editor rather than reading theory. Pair it with the search tuning to attack both the query cost and the work happening on load.

How to Enable and Use Backend Workflows in Bubble

On YouTube by Coaching No Code Apps

  • Backend (server-side) workflows let heavy or bulk work run away from the browser, so the user sees instant feedback while the real processing happens in the background.
  • For large lists, schedule the work as a recursive or scheduled API workflow in batches instead of looping on the page, which is what keeps thousands of records from freezing the UI.
  • You have to explicitly enable backend workflows in your app settings before you can use them, and the video shows exactly where that switch lives.
Watch on YouTube youtube.com

Read

📄 Article
✓ Link checked Free Intermediate

Why we picked it This is Bubble's own guide, and it names the exact levers that decide whether a search stays fast as your data grows: put constraints on the search itself instead of reaching for :filtered, keep sorts and filters at the database level, and watch out for searches nested inside repeating group cells. It is written against how Bubble actually queries data, so the advice maps directly to the slowdown you are seeing, not to generic web performance. Treat it as your first checklist before assuming you need to rebuild anything.

Performance and scaling

From manual.bubble.io by Bubble

  • Filters shown in the search palette run on the database and are fast; :filtered runs in the browser after the data loads and gets slow past a few thousand records, so move that logic into search constraints.
  • A search placed inside a repeating group cell runs once per row, which multiplies your query count; pull it out or restructure the data so one search feeds the whole list.
  • Order constraints from most to least restrictive and prefer exact matches over 'contains' so Bubble can eliminate the bulk of records early.
Open manual.bubble.io

Use

🛠️ Tool
✓ Link checked Free Intermediate

Why we picked it This is Bubble's reference page on how searches actually execute, and it is the highest-leverage read for your problem because it explains that Bubble indexes your data automatically once the volume is large enough, and that privacy rules keep unmatched data from ever leaving the server. Understanding both means you can set your database up so the engine does the filtering for you instead of shipping thousands of rows to the browser first. Keep it open as a checklist while you audit each slow search in your app.

Searches (Optimization checklist)

From manual.bubble.io by Bubble

  • Bubble adds database indexes automatically for common query patterns once your dataset is big enough, and it does not cost extra workload, so structuring searches around real constraints lets that indexing kick in.
  • Privacy rules are not just security: fields a user cannot access never leave the server, which cuts the data returned to the browser and the workload that comes with it.
  • Text matching only indexes the first 256 characters, so very long text fields are a poor thing to search on when speed matters.
Open manual.bubble.io

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