QlikView Scalability

Arjun Meda

Assistant Vice President at HSBC India

My company wants us to embrace Qlik Sense as a whole over QlikView. Qlik Sense as a whole can be considered a scalable product.

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Jason Heunis

Senior Manager: Diversified Operations at Pharmacy Direct

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.

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Sandro Gatti

Partner at Bios Management

It provides good scalability features, making it suitable for medium to enterprise-level organizations. I would rate it eight out of ten.

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Rasool Ahamad

Technical Lead at GSPANN Technologies

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.

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Prashant Baste

Sr. Solution Architect at Team Computers

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.

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MUHAMMAD HAYAT QURESHI

Commercial Finance Controller at Imtiaz Super Market

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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AhmadKastero

Head of Product at Quantiphi

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.

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BrunoPreti

Director of Special Projects - Product Business Manager QLIK & Microsoft at Aldebra Spa

It offers excellent scalability abilities. I would rate it ten out of ten.

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Martin Goebbels

Data Analyst & Researcher (Freelance) at Sonra Intelligence

I haven't encountered issues with scalability personally.

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reviewer2341953

Enterprise Data Architect at a manufacturing company with 5,001-10,000 employees

We have 30 QlikView users in our organization.

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Hendra Eka Putra

Chief Executive Officer at Idea Domina

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.

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Sultan Molobayev

Data Warehouse Architecture at a government with 5,001-10,000 employees

I found Qlik Sense to be more scalable than QlikView.

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AbakarAhmat

Software Engineer at a university with 10,001+ employees

I rate QlikView's scalability a seven out of ten. My company has around 500 users for it.

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Sue Penick

Director of IS at Bennington Marine, LLC

excellent

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it_user305934

Business Intelligence Director at a tech services company with 51-200 employees

I have not encountered any scalability issues.

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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.

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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.

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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.

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reviewer1185771

Works at a retailer with 1,001-5,000 employees

The scalability of this solution is very good.

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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.

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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.

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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

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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.

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it_user157734

Solutions Manager Business Intelligence at a marketing services firm with 51-200 employees

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.

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it_user296565

Product Manager - Healthcare Analytics at a healthcare company with 51-200 employees

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!

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it_user165582

BI Expert at a tech services company with 51-200 employees

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.

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ONUR ÇALISKAN

Managing Partner at INFOLOJIK

The tool is scalable. We are working with two big corporations in Turkey.

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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.

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it_user657474

Analyst - Business Applications at a pharma/biotech company with 10,001+ employees

We have not encountered any scalability issues.

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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.

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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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it_user97479

Consultant at a tech services company with 51-200 employees

No. But we did not used QlikView for Big data. View full review »

it_user77322

Consultant at a tech consulting company with 51-200 employees

Once your user base or applications get large you do need a powerful server with lots of RAM. View full review »

it_user867504

Assistant Manager at a tech vendor with 10,001+ employees

No issues.

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it_user358971

Associate Consultant at a tech services company with 10,001+ employees

We've had no issues with scaling it for our needs.

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it_user125946

AVP at a financial services firm with 10,001+ employees

Sometimes it creates problem when many users log in at same time, but this also depends on your RAM capacity. View full review »

it_user2862

VP of IT at a manufacturing company with 1,001-5,000 employees

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. View full review »

Martin Zwarthoed

Database Specialist at Zwarthoed IT Solutions

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.

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it_user928116

Technical Lead at a tech services company with 1,001-5,000 employees

It is a very good scalable solution.

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it_user225189

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.

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it_user90651

Senior Manager of Data Analytics at a tech vendor with 201-500 employees

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. View full review »

it_user448773

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.

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it_user93909

Partner with 51-200 employees

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it_user78468

Senior IT Business Partner at a manufacturing company with 501-1,000 employees

Only due to the costs.

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it_user377319

Analytics Application Consultant Manager at a computer software company with 51-200 employees

There were no issues with scaling it.

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it_user352455

Senior BI Consultant at a retailer with 51-200 employees

No issues encountered.

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it_user303567

SAP Application Specialist at a comms service provider with 501-1,000 employees

No issues encountered.

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reviewer2239317

BI Consultant at a tech services company with 51-200 employees

It is a scalable product.

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it_user307446

Owner at a tech services company with 51-200 employees

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.

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it_user208263

Associate Director at a consultancy with 1,001-5,000 employees

No issues encountered.

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it_user92304

Consulting Manager at a consultancy with 51-200 employees

Yes we did.

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it_user76272

Business Manager (Exco level) & Executive Director at a retailer with 51-200 employees

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) View full review »

it_user752142

Board of Management with 501-1,000 employees

No problems.

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it_user164283

BI Developer at a tech services company with 51-200 employees

No scalability problems.

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it_user67443

BI Expert at a tech consulting company with 501-1,000 employees

No, server hardware sizing is very important here. View full review »

it_user169491

Consultant at a tech services company with 51-200 employees

Yes, we had issues with scalability.

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it_user155814

Architect at a tech services company with 1,001-5,000 employees

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it_user858876

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.

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it_user93783

Master Data at a hospitality company with 10,001+ employees

I don’t think scalability is applicable to QlikView.

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it_user176133

Consultant at a tech services company

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.

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it_user164442

Team Lead, Data Engineering at a retailer with 501-1,000 employees

No issues with scalability.

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it_user388488

IT Analyst at a government with 501-1,000 employees

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.

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it_user190806

IT Specialist at a manufacturing company with 501-1,000 employees

Upgrading server hardware.

Free Report: QlikView Reviews and More

Learn what your peers think about QlikView. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.

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824,067 professionals have used our research since 2012.