DOMO vs Looker: What are the differences?

<In this comparison, we will explore the key differences between DOMO and Looker in the context of data visualization and analytics platforms.>

1. **Deployment Options**: DOMO is a cloud-based platform that requires no installation, while Looker can be deployed both on the cloud and on-premises, providing more flexibility in deployment choices.
   
2. **Data Connectivity**: Looker has a robust data modeling layer that allows for complex data transformations, whereas DOMO focuses more on data visualization and simplifying the user experience without extensive data modeling capabilities.

3. **Customization and Extensibility**: Looker offers a high level of customization and extensibility through APIs and a development environment for creating custom data applications, whereas DOMO has limited customization options compared to Looker.

4. **Collaboration Features**: DOMO focuses extensively on collaboration features, providing a social media-like interface for sharing insights and collaborating on data stories, while Looker's collaboration features are more traditional and focused on data sharing within the platform.

5. **Cost Structure**: Looker typically has a more complex pricing structure based on user roles and data usage, while DOMO offers a more simplified pricing model that can be beneficial for organizations looking for straightforward pricing.

6. **Ease of Use**: DOMO is known for its user-friendly interface and intuitive design, making it easier for non-technical users to create and share visualizations, whereas Looker may have a steeper learning curve for beginners due to its focus on data modeling and analysis.

In Summary, the key differences between DOMO and Looker lie in their deployment options, data connectivity capabilities, customization and extensibility features, collaboration tools, cost structure, and ease of use.