

QlikView and Google Data Studio compete within the business intelligence and data analytics sector. QlikView seems to have the upper hand for advanced data analysis and handling large data volumes efficiently, whereas Google Data Studio has the advantage with its user-friendly experience and seamless integration with Google products.
Features: QlikView offers robust data analysis capabilities, efficient management of large data volumes, and the ability to seamlessly integrate with Salesforce providing real-time access. It also features a powerful scripting language for complex data transformations and model creation. Google Data Studio is equipped with powerful visualization capabilities, a user-friendly interface, and easy integration with Google products.
Room for Improvement: QlikView could enhance its user experience by improving its scripting integration and expanding its visualization capabilities. The high cost and complexity of its licensing model are also areas needing improvement. Google Data Studio could benefit from enhanced interactivity and more sophisticated data manipulation features, as well as more pre-built templates and easier ways to blend data from diverse sources.
Ease of Deployment and Customer Service: QlikView is mostly deployed on-premises offering flexibility but can be complex to manage without extensive technical expertise. Its customer service receives mixed reviews though community support is strong. Google Data Studio, being cloud-based, allows for seamless deployment without the need for on-prem infrastructure. Its customer service is generally efficient with accessible online resources and responsive technical assistance.
Pricing and ROI: QlikView has a perception of being expensive, with a complex licensing model that might hinder broader adoption, but users find value in the time savings and strategic decision-making it enables. Google Data Studio offers a cost-effective solution, especially for businesses already integrated within Google's ecosystem, with a more predictable pricing structure offering potentially better value.
The number of employees has reduced to half, and time is saved by nearly two to three hours a day because of automated reports.
The biggest return on investment is the time saving for the customer.
Anyone with minimal knowledge of Looker can easily go through the documentation and understand the steps and the UI.
I would rate the customer support a solid 10.
I am totally satisfied with technical support from Qlik.
I rate Looker's scalability a nine because of how easily we can scale by simply combining tables.
If you want better performance with a larger volume of data, you can simply add an additional server.
The performance is not optimal on large data sets.
AI features are already available in Qlik Sense, so you would need to migrate to that platform.
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.
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.
For a business user to understand data from free form or Essbase, it usually takes thirty minutes to an hour to go through the previous day's trend. However, with the visualization tools in Looker, they can easily understand the data and compare it to the previous one or two years using a bar graph, pie chart, or other graphs.
Building metrics using simple language, similar to what you have in Excel, is what I have found most valuable in QlikView.
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.
| Product | Mindshare (%) |
|---|---|
| QlikView | 7.7% |
| Looker | 5.6% |
| Other | 86.7% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 8 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 73 |
| Midsize Enterprise | 36 |
| Large Enterprise | 76 |
Google Data Studio enables seamless integration with Google's ecosystem, enhancing data visualization with Looker's capabilities. Its semantic layer and real-time insights support efficient dashboard creation and sharing.
Google Data Studio offers comprehensive data management through LookML, allowing custom data modeling with minimal training. Its centralized data management facilitates dashboard creation for non-technical employees. Users benefit from real-time insights and advanced analytics, along with automated reporting that reduces workload. Although it offers customization and data-level security, areas like visualization flexibility and large dataset performance need improvement. Challenges include handling complex filters, limited chart types, and the absence of multi-sheet options.
What are the key features of Google Data Studio?Google Data Studio is implemented in industries like real estate, sales, and marketing for creating operational reports and understanding trends. It helps organizations visualize data for customer behavior analytics, supporting developers in managing integrations and data governance efficiently.
QlikView is a Business Intelligence tool that allows you to keep tabs on all of your business-related information in a clean, clear, and easy to access database that is intuitive to build and simple to navigate. It is ideal for business owners who wish to improve overall output by creating the most productive system possible.
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