Looker vs Sisense: What are the differences?

## Key Differences Between Looker and Sisense

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1. **Pricing Model**: Looker offers a pricing model based on user licenses, while Sisense has a pricing model based on the amount of data processed. This means that Looker may be more cost-effective for organizations with a smaller number of users.
2. **User Interface**: Looker has a user-friendly interface with drag-and-drop functionalities and customizable dashboards, while Sisense provides a more robust interface with advanced visualization options and interactive features.
3. **Data Processing Speed**: Sisense boasts faster data processing speeds, especially with large datasets, compared to Looker. This can be critical for organizations requiring real-time insights from their data.
4. **Integration Capabilities**: Looker excels in its integration capabilities with various data sources and platforms, offering seamless connectivity for businesses with diverse data ecosystems. Sisense, on the other hand, may have limitations in terms of integration options.
5. **Scalability**: Sisense is known for its scalability, being able to handle large volumes of data and users without compromising performance. Looker may face challenges in scaling to accommodate growing data needs and user numbers.
6. **Support and Maintenance**: Looker provides extensive support services, including training resources and a dedicated customer success team, while Sisense might have a more limited support offering, potentially impacting the overall user experience.

In Summary, Looker and Sisense vary in their pricing models, user interfaces, data processing speeds, integration capabilities, scalability, and support services, catering to different needs and preferences in the realm of data analytics and business intelligence.