Service and Support
QlikView's customer service receives high marks for responsiveness and efficiency, with many users praising strong community interactions that facilitate issue resolution. Technical support is frequently described as excellent, often provided by partners or local resellers, and is known for quick response times, though some indicate a need for improvement in prioritizing critical issues. The active user community is recognized as a valuable resource for technical assistance.
Deployment
Users found QlikView's initial setup to be mostly straightforward and simple. Installation requires minimal expertise, particularly for desktop versions. Server installations may need more technical knowledge. Some users mentioned potential complexities, especially with larger or integrated systems. Most agree that proper planning and understanding of specific needs are crucial. Technical support and documentation are often helpful, making the process manageable. Initial deployments are quick, and experienced teams can handle it effectively.
Scalability
QlikView's scalability varies depending on hardware and data size. High RAM usage is common, especially with many users or complex data models. Some experience no issues, while others require server upgrades for optimal performance. It's memory-intensive, making hardware consideration crucial. Larger datasets may slow performance. Companies report successful scaling with careful planning and resource investment, though some prefer Qlik Sense for better scalability. Ratings on scalability range from good to excellent, though experiences can differ.
Stability
QlikView is regarded as highly stable by users, with few reports of performance issues linked to infrastructure or large data loads. Many praise its reliability, rating stability between eight and ten out of ten. Users have encountered minimal glitches, though occasional resource-intensive tasks may cause slowdowns. QlikView excels in in-memory data handling, standing out compared to competitors, but stability can be affected during usage peaks if hardware requirements are not met.