Explore vs SQueaLy: What are the differences?

### Introduction

1. **Pricing Model**: Explore follows a pay-per-query pricing model, where users are charged based on the number of queries executed, while SQueaLy uses a subscription-based pricing model, where users pay a fixed amount for a specific period regardless of the number of queries.
2. **Connectivity**: Explore offers native connectivity to a wide range of data sources such as databases, files, and API endpoints, whereas SQueaLy primarily focuses on connecting to SQL databases and does not support as many data sources as Explore.
3. **User Interface**: Explore provides a user-friendly drag-and-drop interface for query building and visualization, making it easier for non-technical users to work with the data, whereas SQueaLy offers a more SQL-centric interface, catering to users who are proficient in writing SQL queries.
4. **Collaboration Features**: Explore includes collaboration features such as sharing queries, dashboards, and results with team members, promoting team collaboration on data analysis projects, whereas SQueaLy lacks robust collaboration tools and is more suited for individual users.
5. **Data Governance**: Explore provides advanced data governance features such as access controls, row-level security, and audit logs to ensure data integrity and security, whereas SQueaLy has limited data governance capabilities and may not be suitable for organizations with strict compliance requirements.
6. **Scalability**: Explore is designed to handle large datasets and complex queries efficiently, making it suitable for enterprise-level data analysis, while SQueaLy is better suited for small to medium-sized datasets and simpler queries due to its limitations in scalability and performance.

In Summary, Explore and SQueaLy differ in their pricing models, connectivity options, user interfaces, collaboration features, data governance capabilities, and scalability, catering to different user requirements and preferences in data analysis tools.