Everything you need to know about AI-powered queries, project limits, and data privacy.
A File is an individual dataset (CSV, XLSX, etc.) in your workspace. A Project is a specialized analytics container where you can group multiple files together to run cross-table queries, generate AI insights, and build visual dashboards.
No. The AI SQL Assistant is designed to turn plain English prompts into valid SQL. However, if you are a power user, you can always view and manually edit the generated SQL to fine-tune your results.
Yes. As long as both files are added to the same Project, you can ask the AI to join them. For example: 'Join my Sales_May file with my Product_Catalog file on the SKU column.'
When the AI generates a result, 'Create New' saves that result as a separate table in your project sidebar, leaving your original data untouched. 'Modify Current' applies the filters or transformations directly to the table you are currently viewing.
The Data Analytics workspace is currently optimized for datasets up to 100,000 rows for real-time AI processing. For millions of rows, we recommend using our 'Database Export' adapter to move data to a dedicated SQL environment.
If your column names are ambiguous (e.g., a column named 'Val' could mean Value, Validity, or Valentine), the AI may ask you to clarify which column you mean to ensure the query logic is 100% accurate.
Yes. Once you configure a chart, you can save the Project logic. When you upload a new version of your data source with the same headers, your charts will refresh automatically to show the latest trends.
Absolutely not. We use enterprise-grade LLM deployments where your data is processed in a transient, isolated environment. Your raw data is never used to train or improve the underlying models.
Yes. Any table generated by the AI SQL Assistant can be downloaded as a CSV or Excel file, or saved back into your main Supabind workspace for use in automated Workflows.
We currently support Line, Area, Bar, and Pie charts. We are actively adding more complex visualizations like Heatmaps and Scatter plots in upcoming releases.
Yes. Analytics Projects are shared at the workspace level. Any team member with access to your workspace can view the projects, run queries, and see the visualizations you have built.
If the AI Assistant isn't giving you the exact query you need, or you have questions about data security and encryption, our engineering team is here to help.
Contact Analytics Support