Features
Natural language to SQL and Pandas code
Multi-turn conversational data exploration
Agent orchestrator for chained analyses
Automated visualization gallery (bar, line, pie, scatter)
Chart export (PNG, PDF) from chat results
RAG-based context retrieval for large datasets
Snowflake native data sharing support
Explainable AI with generated code display
Data upload from CSV, Parquet, Excel, SQL databases
Query history with audit trail
Collaborative sharing of queries and dashboards
Sandboxed code execution environment
Support for multiple LLM backends (OpenAI, Anthropic, local)
Data lineage tracking per query
Caching for repeated queries
Text-to-SQL generation from natural language
Database schema integration for context-aware queries
AI SQL assistant for follow-up questions
Insights unified view: SQL, results, charts, explanations
Auto-generated visualizations from query results
Query version control and history
Desktop app for local execution (Windows, macOS, Linux)
Public API for custom integrations
Schema-only data sharing for privacy
Optimized SQL per database dialect
Privacy-first: credentials stay local on desktop
Support for MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Snowflake, BigQuery, and more
