Vanna AI
Chat with your SQL database using AI
About Vanna AI
Vanna AI is an open-source, MIT-licensed Python framework that turns natural language questions into accurate SQL queries and visual data insights. It supports any LLM provider including OpenAI, Anthropic, and Ollama, and connects to virtually every major database from PostgreSQL and Snowflake to BigQuery and ClickHouse.
Pros & Cons
Pros
- Fully open-source MIT-licensed core with no vendor lock-in
- Supports 10+ databases including Snowflake, BigQuery, and PostgreSQL
- Works with any major LLM provider for flexibility and cost control
- Strong GitHub community with 22.9k stars and active development
- Production-ready security with row-level access control and audit logging
- Pre-built chat web component for fast frontend integration
Cons
- Requires Python and technical setup for self-hosted deployments
- Daily question limits on paid plans may constrain heavy usage teams
- Training the model on your specific schema takes initial effort
- Cloud pricing jumps significantly from Explorer to Team tier
- Accuracy depends on quality of training data and schema documentation
Key Features
Natural Language to SQL
Converts plain English questions into accurate SQL queries against your database, making data accessible to non-technical users
Multi-Database Support
Connects to PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, SQLite, Oracle, SQL Server, DuckDB, and ClickHouse
Any LLM Provider
Works with OpenAI, Anthropic Claude, Google Gemini, Ollama, Azure, AWS Bedrock, and Mistral models
Rich Streaming UI
Delivers real-time streaming responses including tables, charts, SQL code, and progress updates via a pre-built web component
Row-Level Security
User-aware permissions at every layer with row-level security, audit logging, and access-controlled queries
Multi-Turn Conversations
Supports follow-up questions and iterative data exploration through conversational context
Observability & Rate Limiting
Built-in quota management, lifecycle hooks, and observability features for production deployments
Self-Hosted or Cloud
Available as a fully open-source self-hosted solution or a managed cloud offering with admin features
Pricing
- MIT-licensed Python framework
- All core SQL generation features
- Any LLM provider support
- All database connectors
- Community support
- 2-3 team members
- 20 questions per day
- Admin features
- API access
- Same day email support
- Small companies or large teams
- 300 questions per day
- All Explorer features
- Setup support
- Same day live support
- Unlimited questions
- On-premises deployment
- SAML SSO authentication
- Admin API
- Custom development
Best For
Business Intelligence Self-Service
Enable non-technical team members to query databases and generate reports using natural language instead of waiting for analyst support
Data Analytics Applications
Build customer-facing analytics features with natural language interfaces that let end users explore data through conversation
Multi-Tenant SaaS Analytics
Add user-aware data querying to SaaS products with built-in row-level security ensuring each tenant only sees their own data
Enterprise Data Democratization
Give departments across an organization direct access to data insights while maintaining compliance through audit logging
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