1. Language Support: SQL Tabs mainly focus on SQL support for querying databases, whereas Dat offers support for various data formats, not just SQL databases. Dat allows users to work with CSV files, JSON, and other data sources, whereas SQL Tabs is specifically for SQL databases.
2. User Interface: SQL Tabs provide a more traditional SQL query interface with a query editor, results pane, and database explorer, while Dat offers a more user-friendly and interactive data visualization interface that allows users to explore and manipulate data in a more visual way.
3. Collaboration Features: Dat provides collaborative features such as version control and data syncing, allowing multiple users to work on the same dataset simultaneously and track changes, which SQL Tabs lacks. This makes Dat more suitable for team collaboration and data sharing.
4. Data Syncing: Dat has built-in data syncing functionality that allows users to replicate and synchronize datasets across multiple devices and locations, ensuring data consistency and availability, which is not a feature in SQL Tabs.
5. Community and Support: Dat has a more active and diverse community with extensive documentation, tutorials, and community forums to provide support and help users troubleshoot issues, while SQL Tabs may have limited community support and resources available.
6. Data Visualization: Dat offers built-in data visualization tools and charting capabilities, allowing users to create visual representations of their datasets easily, while SQL Tabs might require additional tools or plugins for advanced data visualization.

In Summary, SQL Tabs and Dat differ in terms of language support, user interface, collaboration features, data syncing, community support, and data visualization capabilities.