QlikView Stability Issues

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Felipe Carrera
Solutions Manager Business Intelligence at a marketing services firm with 51-200 employees
It is stable, but of course stability depends on your IT infrastructure and deployment chosen. View full review »
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Christopher Darling
Business Intelligence Data Architect at a construction company with 1,001-5,000 employees
No issues encountered, the solution is stable, and the users are happy with the solutions provided. View full review »
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Jhornber
Sr Manager, Reporting & Analytics at a leisure / travel company with 10,001+ employees
None thus far, but have a relatively small scale implementation (30-40 Users to date), on a single server (196GB RAM, 15 Core). Our largest data sets are in the 100-200 Million rows. Dashboards deployed to the server perform very well, but working with data sets that large locally (on QlikView desktop) may start to lag, depending on your hardware. Being a in-memory tool, desktops and laptops should have at least 8GB RAM, though even more is preferable if working with very large data sets. View full review »
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Vyacheslav Koval
Board of Management with 501-1,000 employees
Yes it's stable. Not 100% but, really, compared to other products, it's a stable product. It's controllable. And the maintenance received from local partners is very good, at a very high level. View full review »
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Bernard Barnard
Head of Qlikview IT at a financial services firm with 1,001-5,000 employees
Stability is largely linked to the infrastructure and requirements. QlikView SA has provided extensive guidance on deploying suitable hardware to support our environment. View full review »
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AyodeleMakun
Qlik Technical Consultant at a tech services company with 11-50 employees
We haven't yet encountered any issues with stability. View full review »
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DivisionalMgr475
Information Systems Development Manager(Senior) – Divisional Manager at a financial services firm with 1,001-5,000 employees
Besides the stability issue with large data sets, I have not encountered any other deployment, stability or scalability issues. View full review »
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Pedro Cunha
Senior BI Consultant (Qlikview) at a tech services company with 51-200 employees
There can be issues in terms of stability during usage peeks. In these situations, the server can experience short down times. Again, many of these situations can be prevented by using the best development methodologies. View full review »
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BIDirector821
Business Intelligence Director at a tech services company with 51-200 employees
I have not encountered any stability issues. View full review »
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Stephen Simmonds
Reporting Analyst at a insurance company with 1,001-5,000 employees
One of QlikView's greatest strengths is its in-memory handling of large amounts of data. The flipside to this is some ongoing leakage, which makes it sensible to reboot once a week. View full review »
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Juan Vidal Gil
Project Manager - Business Intelligence at www.datademy.es
It's difficult to manage big and complex data models, but the reason is that there isn't a semantic layer in Qlikview, but not having a semantic layer is a good point in other aspects, like agile development. View full review »
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Alexis Hadjisoteriou
Partner at a reseller with 51-200 employees
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Subhajit Gupta
Technical Associate at a tech services company with 1,001-5,000 employees
This is quite a stable product, but very huge data loads must be complemented by good hardware. Otherwise, there could be performance issues. View full review »
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projectm203682
Project Manager, Global Business Intelligence & Analytics at a media company with 1,001-5,000 employees
Performance sometimes is a concern. Occasionally, it hangs while running a script and it bounces out. View full review »
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Consultant971
Associate Consultant at a tech consulting company with 1,001-5,000 employees
There have been no stability issues. View full review »
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Patricio Honore, M.S.
Analyst - Business Applications at a pharma/biotech company with 10,001+ employees
We encountered a memory issue. View full review »
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MISGeneralMgr875
MIS General Manager at a engineering company with 501-1,000 employees
Dashboards’ response time is slow when the logic behind them are complex or when there are many dashboards in one QVD file. View full review »
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reviewer667746
Beslutstödsutvecklare
Sometimes when developing QV applications, I encounter almost unexplainable errors that causes QV to crash. View full review »
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reviewer78468
Senior IT Business Partner at a manufacturing company with 501-1,000 employees
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reviewer93783
Master Data at a hospitality company with 10,001+ employees

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