How can i fix slow relational data in a bubble app at scale?

[Scott_C]

I’ve been building a client portal in Bubble and hit a wall where the relational data just isn’t performing well at scale. I keep wondering if I should have started with a more traditional database setup instead, even though that’s exactly what I wanted to avoid.

[John57]

I chased the same thing last year. In Bubble the more relations you stack, the more the page has to pull in one shot. We saw real slow pages as soon as a record pulled in a big tree of related data. I split into separate data types, shifted some lookups to API workflows, and started caching some counts in fields. It helped, but it added API calls and kept us juggling data consistency.

[OliviaAT]

I almost swapped to a traditional DB, but I kept circling back to the feel of Bubble. The pain felt like a loading pattern more than a DB limitation. We redesigned screens to avoid deep nested lookups and trimmed what actually renders, and—surprise—it ran smoother without a full backend rewrite.

[LarryEW]

Do you maybe have to ask if the bottleneck is the schema or the way the UI loads data? I spent weeks chasing relational perf and still felt slow, then tried pruning visible fields and limits on searches, and sometimes it woke up a bit. Not sure I found the real cause.

[Jonathan_S]

A stray drift I wandered into was caching counts in a separate field and then pretending the page loads are light. It helped until the data went stale. Then I realized the whole thing might be more about how often we touch related records than the database format itself. Still, it pushed us to test simple schemas and fewer multilevel lookups.