Yep, I’ve already told above that Xano wouldn’t work since we have a complex use case and need to process a lot of data in a complex manner. We have even given it a try for Xano but weren’t able to make even a PoC.
We need a reasonable solution, not the one we have or someone else has experience with.
I think you should give us a lot more information so we can give you intelligent answers. You have given zero info and expect help, it’s not likely.
Detail your use case, how you get and manage your data, and what you do with it. You don’t need to go into specifics of what the data is, but useful examples will help.
So far your Initial questions amount to… "I’m trying to pull a really big trailer with a vehicle, and it’s taking forever.
You aren’t clarifying the weight of the trailer, nor whether you are driving a Honda fit or a F350.
Take it or leave it
One of the most valuable advances of using No-Code is the standard practice for the code
When this standard practice fails to help you in
Performance
Scalability
Resources
Hard to meantime
I believe at this moment you should leave the No-code platform totally
Maybe you can try Low code as I mentioned before if you have money because it is more expensive
If you don’t have money don’t waste your time switching to traditional programming
In addition, I do not recommend using multiple No-Code platforms in the same application unless you have strong IT experience to handle it.
Also, I hope you can give us more information about your business platform
Yup – basically this. You can consider using another no-code backend or switch to your own AWS server endpoints and then call them into your bubble app. Bubble just breaks at scale.
Beforehand you should probably hire a consultant to go through your bubble app and make sure you aren’t doing ridiculous stuff (running workflows on lists instead of recursively, loading data twice, running unnecessary WFs, etc).
I have a similar app here (with less functions calls than 100M). I decided to move it to a different backend. I create a linux server in Oracle (allways free, 4 cpu, 24 GB). A cron job start the python script, and the script send tasks to a queue (message broker using celery), with automatic retries if fail. Then it updates the bubble database with DATA API connection.