QlikView Scalability Issues

Vyacheslav Koval
Board of Management with 501-1,000 employees
Enterprise Architecture & Business Analyst - Analytics at a paper AND forest products with 1,001-5,000 employees
Right now, we are facing a challenge concerning the capacity, or balancing the use of the servers. In the end, we expect to have a good resolution. View full review »
Qlik Technical Consultant at a tech services company with 11-50 employees
QlikView is a memory intensive application and does sometimes start to weigh on your PC resources. Also you would need to learn some development tricks to manage unnecessary time wasting when loading large database sources, like the use of QVD – QlikView proprietary data format - for faster and efficient loading times. View full review »
BI Project Leader with 1,001-5,000 employees
I have encountered issues with scalability. We have generated models with large amounts of data and have found that the processor and memory of our server has been declining. We do not have something to help us to size the equipment requirements when a big data model is developed in QlikView. View full review »
Jop Moekotte
Business Analyst at a manufacturing company with 5,001-10,000 employees
Due to in memory technology, when datasets get really huge, rendering of graphs can take some time or even return out of memory. View full review »
Alexis Hadjisoteriou
Partner with 51-200 employees
Patricio Honore, M.S.
Analyst - Business Applications at a pharma/biotech company with 10,001+ employees
We have not encountered any scalability issues. View full review »
Assistant Manager at a tech vendor with 10,001+ employees
Senior IT Business Partner at a manufacturing company with 501-1,000 employees
Only due to the costs. View full review »
Master Data at a hospitality company with 10,001+ employees
I don’t think scalability is applicable to QlikView. View full review »

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