The intelligent SQL notebook
Seamlessly integrate AI, query multi-database connections, and visualize data with an elegant notebook interface.
Modern SQL Notebook with Intelligent Features
A flexible environment for data exploration, analysis, and collaboration with powerful AI integration.
Multi-DB Connections
Connect to multiple databases simultaneously and join data across different sources.
AI Integration
Seamlessly use AI assistants to analyze data, generate queries, and explain results.
Interactive Visualizations
Create charts, pivots, and dashboards directly from your query results.
Flexible Cell Types
Mix markdown, SQL, charts, prompts, and more in a seamless notebook interface.
Multiple Data Formats
Work with CSV, JSON, Excel, Parquet and more, both local and remote.
Git Integration
Version control your notebooks and collaborate with your team.
Advanced SQL Tools
Auto-completion, query history, and intelligent suggestions for faster development.
Local & Secure
All data stays on your machine. Add AI providers with secure credential storage.
QueryMind for Every Data Need
From data analysis to database management and teaching, QueryMind adapts to your workflow.
Data Analysis
Explore, visualize, and analyze data from multiple sources with a powerful notebook interface. Create stunning visualizations and generate insights using SQL and AI.
Intelligent Workflows with AI Agents
Transform your notebooks into powerful AI tools that automate data workflows and create intelligent assistants.
Notebooks as AI Tools
Transform entire notebooks into reusable tools for AI agents. Define parameters in input cells and return results from output cells, creating a seamless workflow.
Data-Powered Assistants
Build AI assistants with direct access to your data sources. Combine AI reasoning with SQL queries to create agents that can analyze, visualize, and explain data insights.
Intelligent Automation
Create automation bots that combine the power of AI with data access. Schedule workflows to generate reports, send alerts, or perform complex data operations automatically.
Cell-based Functions
Define input cells as function parameters that can be dynamically populated by AI agents, creating reusable data workflows.
Dynamic Execution
AI agents can execute notebook cells, analyze the results, and make decisions based on the data, creating intelligent workflows.
Output as Results
End cell outputs become tool results for AI agents, enabling them to process and act on data insights automatically.