What’s causing performance issues in a Bubble portal when 5–6 users are online?

[JonathanWW]

I’ve been building a client portal in Bubble and hit a wall where the performance just tanks once five or six users are in it at the same time. I’m trying to figure out if this is just the reality of the platform for something moderately complex, or if my data structure is fundamentally wrong. I’m not a developer, so debugging this feels like guessing.

[Luna.W]

I’ve been there with Bubble. On a client portal, five or six people can feel like a crowd once a few workflows kick off at the same time. I tried blaming the data model first, but the real hits for me came from cascading API calls and some heavy pages lighting up. I watched a session and saw several searches looping and a couple of long running actions. I pared back live queries on the first dashboard, and I moved a chunk of logic to server side actions, plus I broke a bulky list into smaller pieces. It helped a little, but it didn’t fix it cleanly.

[Sofia_P]

I wouldn’t assume the structure is totally wrong just yet. Sometimes it’s not the schema but how many reads you’re doing at once. I’ve seen performance dip when a single page pulls a lot of related records repeatedly; trimming those reads or caching a bit makes a difference, even if you don’t change the underlying tables much.

[Paisley65]

Could it be that the real bottleneck isn’t concurrency but a single heavy page that everyone loads?

[OliverVM]

Another time I wandered into something else entirely—the dashboards in a different project were heavy because of an image gallery that forced large renders. It reminded me how easy it is to chase concurrency while a single control redraws the page. I cut down the gallery and that helped more than I expected, but that wasn’t the portal’s root cause.