QlikView Scalability
My company wants us to embrace Qlik Sense as a whole over QlikView. Qlik Sense as a whole can be considered a scalable product.
It provides good scalability features, making it suitable for medium to enterprise-level organizations. I would rate it eight out of ten.
I rate the product's scalability a four out of ten. We have more than 30 users in our organization. Out of 30, around 50% of members work on processes of different kinds of data selection. The other 50% of the members are part of a team of decision-makers.
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QlikView
October 2024
Learn what your peers think about QlikView. Get advice and tips from experienced pros sharing their opinions. Updated: October 2024.
814,649 professionals have used our research since 2012.
It is resource-intensive. So, it is not easy to scale. In my organization, we have about 50 to 100 users who are using the actual QlikView portal to draw reports. We have 5 to 10 users who are building and creating reports.
Scalability is paramount, given that it often constitutes a significant cost for companies. Initially designed for around thirty users, our server infrastructure has undergone notable expansion over the past two years. We've exceeded hundreds of users, particularly with large clients like the government, who now boast a user count surpassing a hundred. I would rate it seven out of ten.
View full review »I would rate the scalability of QlikView around an eight or nine out of ten. While it offers strong scalability, Qlik Sense surpasses it with concepts like DashOps and extensions, allowing for more customizable visualizations.
It offers excellent scalability abilities. I would rate it ten out of ten.
View full review »Scalability-wise, I rate the solution a seven out of ten.
Considering one of my largest customers, I think that 4,600 users are using the product.
I found Qlik Sense to be more scalable than QlikView.
View full review »I rate QlikView's scalability a seven out of ten. My company has around 500 users for it.
View full review »I haven't encountered issues with scalability personally.
View full review »AA
reviewer2341953
Enterprise Data Architect at a manufacturing company with 5,001-10,000 employees
We have 30 QlikView users in our organization.
View full review »Scalability really depends on the size of your data and QlikView server architecture. For the biggest data sets, it could become an issue at some point.
View full review »MD
reviewer2309610
Logistics Engineer at a logistics company with 201-500 employees
QlikView is a scalable solution that multiple users can easily use.
My company has 20 to 50 users of the solution.
SP
Sue Penick
Director of IS at Bennington Marine, LLC
excellent
View full review »I have not encountered any scalability issues.
View full review »TP
Theophilos Papa
Crm/Business Intelligence administrator at Kc firiakis LTD
The solution can scale as needed.
We have at least ten people on the solution currently.
View full review »BB
Bernard Barnard
Head of Qlikview IT at a financial services firm with 10,001+ employees
Scalability depends on the environment and requirements. If you have large data sets, due to the in-memory nature of QlikView, the hardware needs to support your requirements.
View full review »EI
reviewer1904637
Project Coordinator Manager at a manufacturing company with 11-50 employees
While we do add users every now and then, I can't speak to the real scalability. I haven't attempted to scale.
We have around 50 people using the solution.
View full review »The tool is scalable. We are working with two big corporations in Turkey.
View full review »The scalability of this solution is very good.
View full review »CM
ManFin32102
Manager, Financial Systems Deployment, EPSI at a healthcare company with 1,001-5,000 employees
I did not encounter any issues with scalability of the product.
View full review »PE
Peter Eerdekens
Commercial Business Analyst at Asilia Africa
The scalability is quite good, QlikView is fairly versatile yet robust at the same time and can be applied on multiple levels
View full review »DS
reviewer1904634
Operations Officer Team Leader at a consultancy with 51-200 employees
We have 30 or 40 people using the solution currently.
I'm not sure of total scalability, however, based on the scalability of the data, of course, it has a lot of scalability available since we have thousands of FTD leads. We need scalability. So far, we haven't had a problem achieving it.
That said, if the solution can scale according to the number of users, I'm unsure.
As of now, project coordinators and the business intelligence team are using it.
View full review »Data model, data size, RAM size, hardware CPUs and UI expressions / charts, are strongly related. It is possible to scale QV without problems, but the issue is more complex than not having enough RAM. Complex expressions at the UI level, single threaded object calculations, complex data models, huge data size, etc., can alter the performance of the QV application and thus we might think we need to scale. There are many tools to measure QV performance and to try keep them at an optimal level. Otherwise, if everything else is fine, we need to increase RAM. Actually, we have 1 TB RAM on our production server.
View full review »QlikView is a very heavy RAM utilizer (all strong BI tools are). When we hit around 20 concurrent users, the user experience began to suffer. We contacted Qlik Support and they assisted us with a review of our infrastructure. We followed their suggestions to the tee, and were back with great speed!
View full review »The product is designed to scale both horizontally and vertically. Some organizatations which have servers and dashboards that handle until 30 Tb of data have had some issues that finally have been addressed by the support service of QlikTech.
View full review »EM
reviewer1901754
Head Of Business Intelligence at a consultancy with 51-200 employees
I don't see a limit in terms of scalability. I can see the users, I can see a lot of numbers there since we have individual entries. We've never had trouble with expanding.
In the company, in my team, almost everyone is using it and we're about 20 people. You could say above 50 people for sure using it in our organization.
Now we don't have a lot of agents. In the past, we had more agents working with us and it was more than that.
Mostly the BI department and managers are using it. Whoever deals with the entries and the numbers basically deals with it. All of us use it daily.
View full review »We have not encountered any scalability issues.
View full review »JD
reviewer2239317
BI Consultant at a tech services company with 51-200 employees
The platform is highly scalable. I have worked on projects with up to five servers to ensure scalability for large numbers of users.
View full review »AM
AyodeleMakun
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.
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No. But we did not used QlikView for Big data.
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Once your user base or applications get large you do need a powerful server with lots of RAM.
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No issues.
View full review »We've had no issues with scaling it for our needs.
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Sometimes it creates problem when many users log in at same time, but this also depends on your RAM capacity.
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No, product has proven to be scalable. You need to consider at least mid term scale before deciding which license types to purchase, I would recommend Server versions with session cals, vs. Document cals.
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The solution is scalable but you really have to keep in mind that it's configurable in application so that if you reach the maximum, you know you need to act on that. Otherwise strange things will start to happen. We had that issue one time, we added more memory and since then we haven't had any issues.
It is a very good scalable solution.
View full review »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.
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It really depends on your analytics. You have to think and design your documents and/or analytics for large scalability if you think you need something like that.
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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 »Only due to the costs.
View full review »There were no issues with scaling it.
View full review »No issues encountered.
View full review »No issues encountered.
View full review »JD
reviewer2239317
BI Consultant at a tech services company with 51-200 employees
It is a scalable product.
View full review »In general, the solution is a little problematic in terms of scalability, as everything is stored in RAM. For more complicated analysis for many users, the memory consumption is very high and requires a lot of investment in hardware.
View full review »No issues encountered.
View full review »Yes we did.
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None – During a stress test it was able to load 38 million records without any problems on simple dual core PC with ONLY 1 GB OF RAM (absolutely amazing. I would not have believed it to be possible but I did the test myself)
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No problems.
View full review »No scalability problems.
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No, server hardware sizing is very important here.
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Yes, we had issues with scalability.
View full review »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 »I don’t think scalability is applicable to QlikView.
View full review »Scalability is directly proportional to RAM size & the number of concurrent users accessing the solutions. We didn't see major stability-related issues post-deployment.
View full review »No issues with scalability.
View full review »The product eats all memory you give according to the number of accesses it gets, as the navigation is buffered for future queries. Ideally, the datasets must be summarized to the granularity that the public expects.
View full review »Upgrading server hardware.
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QlikView
October 2024
Learn what your peers think about QlikView. Get advice and tips from experienced pros sharing their opinions. Updated: October 2024.
814,649 professionals have used our research since 2012.