Ask, Analyze, Visualize: Jarvis Makes Database Analytics Effortless with Natural Language

This video demos Jarvis's database analytics feature, which lets anyone query data using natural language instead of SQL. Jarvis connects to a wide range of sources including MySQL, PostgreSQL, MSSQL Server, Snowflake, Databricks, Amazon Redshift, and Data Lakes. After enabling the data connector from the toolbar, users ask questions in plain English — Jarvis interprets the query using a reasoning model, generates native SQL automatically, and retrieves results in real time.

The generated SQL is transparent and copyable for technical users, while business teams get insights immediately without writing a single query. Switching to the artifacts panel lets users request any chart type from the same data. Jarvis generates the chart code alongside the visual, which can be copied or downloaded — including with a transparent background for direct use in PowerPoint presentations.

Users can request different chart types such as bar charts and pie charts without re-querying. Charts can be downloaded and shared with teammates in a single step. The combination of natural language queries, transparent SQL generation, and one-click chart export makes Jarvis a practical analytics tool for both technical and non-technical teams working across modern data platforms.