Service and Support
Customer service and support for QlikView are highly regarded. Many find their experiences with support partners and the vibrant Qlik community to be efficient and helpful. Frequent follow-ups, fast response times, and knowledgeable interactions are often mentioned. While some rely on external partners, others benefit from direct communication. Customers appreciate the large online community for resolving issues quickly. Technical support gets positive feedback, highlighting its role in error resolution and user satisfaction.
Deployment
QlikView's initial setup is frequently praised for being straightforward and simple. Many users find desktop installation easy, while server setups occasionally require more technical knowledge. Documentation is often described as clear, making the process seamless. Some users noted that while basic installations are easy, additional features like clustering can increase complexity. Users commonly highlight minimal difficulty in getting started, with quick deployment often achieved by skilled IT personnel or consultants.
Scalability
QlikView can handle scalability effectively, especially with sufficient RAM and adequate server architecture. While some organizations may encounter issues with large datasets, many report seamless scalability with proper hardware configurations. Its in-memory technology demands high memory usage, but performance remains robust with added resources. Multiple users can easily access and use QlikView, and many rate its scalability highly, though some find competitor Qlik Sense surpasses it in certain aspects.
Stability
QlikView exhibits strong stability, yielding minimal issues for users, who appreciate its robust in-memory data handling. Challenges arise with large data sets, resource demands, and infrastructure limitations, but many have addressed these with hardware upgrades. While rare instances of performance lags or errors occur, QlikView generally remains reliable, earning high stability ratings. Users find it stable compared to competitors, though performance may depend on application size and concurrent user numbers.
