

QlikView and Looker Studio are leading competitors in the business intelligence market. Based on features, QlikView excels in high-performance data processing, while Looker Studio stands out for its cost-effectiveness and seamless integration with Google services.
Features: QlikView provides advanced data management with patented AQL technology, rapid in-memory data processing, and a highly interactive user interface. Looker Studio offers integration with Google apps, ease of sharing data, and excellent collaboration features, making it a preferred choice for Google ecosystem users.
Room for Improvement: QlikView faces challenges such as expensive licenses, the need for technical expertise, and a somewhat dated user interface. Looker Studio users desire faster real-time data updates and improved report loading speeds.
Ease of Deployment and Customer Service: QlikView's on-premises nature allows for customization but requires significant setup efforts and reliance on partner networks for support. Looker Studio is cloud-based, simplifying deployment and providing streamlined support directly from Google.
Pricing and ROI: QlikView is priced at a premium, reflecting its robust features but involves significant licensing costs. Users report strong ROI from advanced analytics capabilities. Looker Studio is free, appealing for budget-conscious users, though costs may arise from supporting infrastructure and large data handling.
| Product | Mindshare (%) |
|---|---|
| QlikView | 4.0% |
| Looker Studio | 2.5% |
| Other | 93.5% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 73 |
| Midsize Enterprise | 36 |
| Large Enterprise | 76 |
Looker Studio offers seamless integration with Google products, supporting business visualization and collaboration through efficient data management and analytics, catering to teams aiming for quick analytics solutions.
Looker Studio combines diverse data source integration including SQL and MongoDB with powerful visualization and custom filter creation. Users find its visuals clean and its platform user-friendly, enhanced by collaboration features and pricing. It aids decision-making and is popular for tracking metrics and analyzing sales funnels. Despite its strengths, users seek faster report loading, simpler data modeling, and better interface usability. Advertising system limitations, delayed data reflections, and integration challenges affect performance. Security and stability improvements alongside a richer data modeling layer are desirable, with pricing impacting large organizations.
What are the most important features of Looker Studio?Looker Studio supports business visualization for different industries, creating dashboards and reports for sales and marketing analysis. It's used to track metrics and sales funnels from sources like Google Sheets and BigQuery. Many companies integrate Looker Studio within web apps, providing data insights tailored to sectors such as e-commerce, finance, and more.
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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