AskYourDatabase AI vs Vanna.AI

AskYourDatabase AI is a SQL chatbot that turns plain-English questions into database queries, charts, and dashboards. You connect PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Snowflake, BigQuery, or ClickHouse, then ask questions in a chat window instead of writing SQL by hand.

Most text-to-SQL tools target analysts inside one company. AskYourDatabase splits into two products on purpose: a Desktop app that keeps credentials on your machine with no query timeout, and an embeddable website chatbot you can ship to customers with row-level access control via session API keys. That dual setup suits SaaS vendors who need customer-facing BI without building custom dashboards for every account.

Non-technical teams use it for ad-hoc reporting, while engineers lean on self-learning training, natural-language fine-tuning, and query sanitization (confirmation prompts on writes, DROP TABLE stripping, automatic LIMIT clauses). SOC 2 and ISO 27001 compliance badges are published on the homepage, and on-premise deployment is available on Enterprise chatbot plans.

Vanna.AI lets business users query databases in plain English and get SQL-backed answers without writing queries themselves. The open source framework connects to PostgreSQL, MySQL, Snowflake, BigQuery, SQLite, and other stores, then pairs with Anthropic, OpenAI, Gemini, or Ollama models. Vanna 2.0 adds multi-turn agents with access controls so each user only sees permitted data.

Most text-to-SQL tools stop at a single question. Vanna ships as an agent framework with hosted admin features for observability, audit logs, agent memory, and file storage. You can self-host with pip install vanna or use Vanna Cloud when you want managed access control and same-day support.

Vanna.AI fits data teams, product managers, and analysts who need governed natural-language access to warehouse data. Explorer costs $50 per month with 20 questions per day, Team is $500 per month with 300 daily questions, and Enterprise offers unlimited scale with SAML SSO and on-prem deployment.