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MendyS
Partner - Creator III
Partner - Creator III

The Cloud Increase The Size of QVF?

Recently I had the chance to make a POC for a transition from Qlik On-Premise to Cloud.

I notice that the size of the applications does not seem appropriate, so for this purpose I made a new application, with only one table, and did the same in both environments.

The size of the On-Premise Env. was 261 mega,
When I look at the exact same application in the cloud, I see that the size of the QVF is 419!! mega,

Does anyone have an explanation for this case??

Thanks

Labels (3)
1 Solution

Accepted Solutions
Daniele_Purrone
Support
Support

Hi @MendyS ,
in the cloud we usually display the minimum "in memory" size, as opposed to the "on disk file size".
There can be a difference that goes up up to 4-6 times.

 

Daniele - Principal Technical Support Engineer & SaaS Support Coordinator at Qlik
If a post helps to resolve your issue, please accept it as a Solution.

View solution in original post

3 Replies
Daniele_Purrone
Support
Support

Hi @MendyS ,
in the cloud we usually display the minimum "in memory" size, as opposed to the "on disk file size".
There can be a difference that goes up up to 4-6 times.

 

Daniele - Principal Technical Support Engineer & SaaS Support Coordinator at Qlik
If a post helps to resolve your issue, please accept it as a Solution.
Juriaan
Partner - Contributor II
Partner - Contributor II

Same situation here. The on premise Qlik Enterprise Windows app filesize is 4,8GB according the QMC (or should we look at base memory size?). After migrating to Qlik Cloud the app can't load because the appsize has become 11,2GB (while limit app size is 5GB).

Juriaan_0-1727256023142.png

 

Leigh_Kennedy
Employee
Employee

The limits vary by edition and features.

  • User based Qlik cloud analytics apps have a 5GB limit
  • Capacity based Qlik cloud analytics apps have a 10GB limit
  • Large app capacity can be purchased to provide a limit up to 50GB.

All these are in-memory, rather than on-disk sizes.  Note also that we count memory slightly differently than in client-managed - user memory is not counted in these figures, and should demand require it we will start up multiple engines to meet demand, but this will not impact the reported memory usage.  We also allow more memory to be used temporarily during reloads as long as the final memory figure fits within these limits.