Vanna.AI vs Avanty

Vanna.AI is a user-aware AI agent framework that connects large language models (LLMs) to your databases, enabling natural language interaction with data. It simplifies SQL query generation by leveraging a Python-based open-source SQL agent that learns from past successful queries, adapting to your database schema and business logic over time without manual training.

The platform centers user identity in every request, ensuring permissions and workspace context are enforced automatically. This approach keeps conversations isolated, maintains quota limits, and secures data access, making it suitable for production environments beyond simple demos.

Vanna supports rich, interactive UI components that go beyond text responses. Users receive sortable, paginated data tables, progress indicators, and visualizations like Plotly charts, all designed to optimize token usage for LLMs while providing detailed outputs for humans.

It works with any LLM provider and database, including Snowflake, BigQuery, and Postgres, offering flexible integration options such as Jupyter Notebooks, Slackbots, or web apps. The framework includes production-ready features like per-user quota management, usage tracking, conversation persistence, and automatic permission enforcement.

Vanna.AI is ideal for organizations wanting to empower users of varying SQL expertise to explore data naturally and securely. Its open-source foundation combined with optional hosted services allows teams to start with prototypes and scale to enterprise deployments without rewriting code.

The tool continuously improves through its Tool Memory system, which stores and reuses effective query patterns, enhancing accuracy and efficiency over time. This makes Vanna a practical choice for businesses aiming to reduce time spent writing SQL while increasing data accessibility and insight generation.

Avanty is a Chrome extension designed to help data analysts work faster and smarter within Metabase. It uses AI to generate and edit SQL queries from natural language, making complex query writing more accessible. The tool understands your database schema and can create accurate SQL statements, saving you time and reducing errors.

Beyond query generation, Avanty breaks down complicated SQL into understandable parts with step-by-step explanations. This helps analysts and teams grasp complex data logic without struggling through dense code. It also auto-formats SQL for better readability and can add comments automatically, improving collaboration and code clarity.

Avanty supports both self-hosted and cloud Metabase instances, ensuring flexibility for different environments. It never accesses sensitive customer data, only metadata about your queries and schema, keeping your information safe. The extension is keyboard-friendly, allowing quick navigation and editing without leaving the keyboard.

The tool is actively developed with a focus on improving SQL editing and understanding. It offers smart error debugging to catch typos and syntax issues before they cause problems. While it works best with English natural language commands, the team is working to improve support for other languages.

Avanty is ideal for data analysts who want to spend less time writing repetitive SQL and more time analyzing data and communicating insights. It also benefits teams by standardizing query formatting and documentation. A free trial is available, and pricing plans include options for individuals and teams.