

QlikView and Microsoft Power BI are competitive solutions in the business intelligence (BI) category. Microsoft Power BI tends to have the upper hand due to its cost-effectiveness and ease of use for both technical and non-technical users.
Features: QlikView excels with its robust backend data management and high customization through its proprietary scripting language, dynamic dashboards, and a powerful in-memory engine for quick data analysis and visualization. Microsoft Power BI offers intuitive navigation, ease of integration with various data sources, a user-friendly design, and supports diverse visualizations, making it accessible to a broad user base.
Room for Improvement: QlikView needs to improve integration with modern BI features like natural language queries and enhance mobile compatibility. It also requires better user interface enhancements for first-time users and should focus on providing newer visualization options. Microsoft Power BI could enhance its performance and scalability, especially in handling large datasets for faster real-time data refreshes. Additionally, reducing pricing for advanced features and providing more customization options would benefit users.
Ease of Deployment and Customer Service: QlikView is typically deployed on-premises and receives mixed feedback on support, often relying on community forums and resellers. Microsoft Power BI is flexible, supporting both on-premises and cloud deployments, with highly regarded customer service and extensive community resources, although its diverse product suite can be challenging to navigate.
Pricing and ROI: QlikView is often seen as expensive for smaller businesses due to high licensing and infrastructure costs with a lengthy ROI. However, its value is recognized when fully leveraged. Microsoft Power BI is viewed as more cost-effective, with competitive pricing and multiple licensing options, making it accessible to enterprises of different sizes, though extensive scaling can lead to increased costs at premium tiers.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Because of integration with Microsoft Power BI, its interactive dashboards, and how easily it integrates with other SQL data sources, business decisions from business users have become much faster.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
The biggest return on investment is the time saving for the customer.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
I would rate the customer support a solid 10.
I am totally satisfied with technical support from Qlik.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
If you want better performance with a larger volume of data, you can simply add an additional server.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
Earlier it used to take six months to one year; now we can do it in one week.
We typically do not have problems with end-user tools like Excel and Power BI.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
In QlikView, I believe the improvement that should be made is to bring the costs down, as you'll have to be competitive with Power BI, aiming for at least a 30% reduction to stop the hemorrhaging to Power BI.
It would be beneficial to have AI or ML features in QlikView.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
The license cost per user or per year for QlikView is about 500 Euros annually.
I would rate the pricing for QlikView as not cheap, but it is reasonable.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
To reduce the need for highly skilled personnel, we can engage someone who is just familiar and has a basic understanding of Microsoft Power BI, while AI can handle the major tasks through either agent AI or requirement analysis.
The best features in QlikView are rapid development, the fact that I can do what I want in QlikView, and full control along with ease of use.
Building metrics using simple language, similar to what you have in Excel, is what I have found most valuable in QlikView.
| Product | Mindshare (%) |
|---|---|
| Microsoft Power BI | 12.4% |
| QlikView | 3.7% |
| Other | 83.9% |

| Company Size | Count |
|---|---|
| Small Business | 137 |
| Midsize Enterprise | 59 |
| Large Enterprise | 171 |
| Company Size | Count |
|---|---|
| Small Business | 73 |
| Midsize Enterprise | 36 |
| Large Enterprise | 76 |
Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.
QlikView enhances data analysis with its associative data model and rapid in-memory processing, providing dynamic dashboards and robust visualization, while efficient data integration allows connections to multiple sources.
QlikView offers powerful analytics and insight generation capabilities through its integration with Salesforce, enabling real-time sales data access. Its customizable dashboards are complemented by scripting for complex calculations and QVDs for performance optimization. Designed to be user-friendly, it supports ETL processes and diverse data browsing, allowing users to interact with data intuitively. However, there is room for improving licensing complexities, scalability, and self-service functionality. Additional enhancements are desired in visualization, integration with Qlik Sense, and predictive analytics support.
What are QlikView's key features?QlikView finds use in building business intelligence dashboards across sectors, integrating with Salesforce for analytics, supporting financial planning, and tracking sales. Its intuitive interface aids manufacturing companies in KPI monitoring and informs commercial decisions. The tool enhances reporting, ETL processes, and diverse data source integration, facilitating offline data access.
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