vanna-ai

vanna-ai

Vanna is an open-source framework and production-ready platform that uses AI to generate SQL and let users query multiple databases with natural language. It supports self-hosting or a hosted cloud offering and integrates with different LLM providers and databases.

vanna-ai is business intelligence software teams evaluate for business intelligence. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 75/100
#162 in Business Intelligence (162 tools)
Added 0 year ago
Data reviewed Jul 15, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

Review official source →

Quick Overview

Best for: Business Intelligence

What it does

Business Intelligence software for decision-makers comparing workflow fit and alternatives.

Best fit

Business Intelligence

Pricing snapshot

Freemium from Free (open source)

Next step

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vanna-ai

Vanna is an open-source, production-ready framework and platform that enables teams to interact with databases using natural language by generating SQL via AI. It is LLM-agnostic and supports multi-database environments so organizations can let users query systems of record without deep SQL expertise. Vanna can be run self-hosted or used as a hosted cloud product and includes optional admin features for access control, observability, memory, secure file storage, audit logs, and data retention.

Vanna.AI is an AI SQL agent that writes SQL from natural language queries.

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Key Features

AI-powered SQL generation

Generates SQL from natural-language queries to produce accurate answers from your data.

LLM-agnostic

Works with any LLM provider; the site lists Anthropic, OpenAI, Gemini, and Ollama as supported options.

Multi-database support

Supports multiple database backends including SQLite, PostgreSQL, MySQL, Snowflake, and BigQuery.

Access control

Optional hosted admin feature to control who sees what data.

Observability & tracing

Real-time metrics and distributed tracing for monitoring agent activity.

Agent memory (hosted vector DB)

Hosted vector database to provide agent memory and context retention.

Secure file system

Secure file storage and retrieval as part of hosted admin features.

Audit logs & data retention

Comprehensive activity tracking and long-term retention for compliance and review.

Cloud and self-host deployment

Can be used as a hosted cloud product or self-hosted via the open source package.

Open source

Marketed as open source with no vendor lock-in and production-ready.

Pricing

Free Tier Available

Open source core is available freely as an open-source package.

Vanna Core (Open Source)

Free (open source)
  • Self-hosted open source framework
  • Multi-database and LLM-agnostic support

Vanna Cloud

See pricing page
  • Hosted admin features (access control, observability, agent memory, file system, audit logs, data retention)

Enterprise

Contact sales
  • Enterprise-grade support and features

Use Cases

Empower non-SQL users

Allow users across the organization to query databases with natural language, reducing dependency on SQL experts.

Cross-system data querying

Let users query multiple systems of record and databases from a unified agent interface.

Embedded AI agents in products

Build multi-turn agents that interact with company data and provide conversational access to records and insights.

Production analytics and compliance

Use admin features like audit logs, observability, and data retention to run enterprise-grade, auditable AI agents.

Integrations

OpenAI

Can be used as the language model provider for AI-powered SQL generation.

Anthropic

Supported LLM provider option.

Gemini

Supported LLM provider option.

Ollama

Supported LLM provider option.

PostgreSQL

Supported database backend.

MySQL

Supported database backend.

SQLite

Supported database backend (useful for local/dummy DBs).

Snowflake

Supported database backend for data warehouse use cases.

BigQuery

Supported database backend for analytics workloads.

Benefits

Reduces time spent writing SQL by generating queries from natural language.
Makes company data accessible to users regardless of SQL expertise.
Flexible deployment: open-source self-hosting or hosted cloud.
Enterprise features for access control, observability, auditing, and data retention enable compliance and production use.
LLM-agnostic architecture avoids vendor lock-in.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Install the package (example shown: pip install vanna).
  2. 2 Choose your stack: select an LLM provider and a database backend (e.g., OpenAI, Anthropic; PostgreSQL, BigQuery, Snowflake).
  3. 3 Follow the quickstart/docs or run the provided Colab dummy database examples to configure and run Vanna.

Support

docs

Documentation and quickstart available on the Vanna website.

quickstart

Quickstart guides and Colab examples (dummy database) provided to get started quickly.

company contact

Company contact and enterprise inquiries available via the site.

API

Available: Yes
Documentation:

Documentation and quickstart available on the Vanna website

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