Looker vs QlikView: What are the differences?
Introduction:
1. Data Integration: Looker focuses on integrating data directly from databases, while QlikView extracts data into its proprietary in-memory engine for analysis.
2. Visualization Capabilities: Looker provides advanced visualization options, including embedding custom visualizations, whereas QlikView offers extensive out-of-the-box visualizations with less customization flexibility.
3. User Interface: Looker's interface is more user-friendly and intuitive for non-technical users, while QlikView's interface may require more technical expertise for customization and usage.
4. Deployment Options: Looker is primarily cloud-based, allowing for easier scalability and lower maintenance costs, while QlikView can be deployed both on-premises and in the cloud, providing more flexibility but potentially higher deployment costs.
5. Support for Real-time Analytics: Looker excels in providing real-time analytics capabilities with its modern architecture, while QlikView may face challenges in delivering real-time insights due to its underlying data extraction methods.
6. Collaboration Features: Looker offers robust collaboration features such as data sharing and commenting within the platform, whereas QlikView may lack such collaborative functionalities, making teamwork more challenging.
In Summary, Looker and QlikView differ in data integration methods, visualization capabilities, user interface, deployment options, support for real-time analytics, and collaboration features.