Vanna AI Review, Pricing & Alternatives (2026)

Vanna AI is an open-source Python framework and hosted product from Vanna AI, Inc. Vanna 2.0 describes itself as a user-aware agent framework that connects language models to databases, SQL tools, charts, and custom functions. The company presents the product as a way for people without SQL expertise to ask questions in natural language. It supports multiple language-model providers and database systems, including OpenAI, Gemini, SQLite, PostgreSQL, MySQL, Snowflake, and BigQuery. Vanna does not publish a founding year, employee count, user count, or funding total. The project has two distinct identities: a framework developers can assemble themselves and a commercial service that adds hosted administration, observability, memory, audit logs, file storage, and retention controls.

A typical Vanna workflow starts with a user question, then generates SQL for the connected database. The built-in flow checks the generated statement, runs it through a developer-supplied `run_sql` function, and can generate Plotly code for a chart. Developers can add database DDL, documentation, and question-to-SQL examples to the training or retrieval layer. Vanna’s documentation says successful interactions can be stored in Tool Memory, allowing later questions to retrieve related SQL and tool-use patterns. Vanna 2.0 extends the framework with an agent, tool registry, storage interfaces, prompts, lifecycle hooks, middleware, context enrichers, filters, observability, evaluations, and user authentication. Developers can use built-in connectors or implement a connector for any SQL database reachable from Python.

Vanna 2.0 uses a modular agent architecture rather than a named proprietary model. Its security FAQ describes a core agent that coordinates language-model interactions, tool execution loops, conversation management, and streaming. The framework offers pluggable integrations for Anthropic Claude, OpenAI GPT, and other providers, while its documentation says the hosted option can provide managed model endpoints. The public 2025 materials describe six extensibility points: lifecycle hooks, middleware, error recovery, context enrichment, conversation filters, and observability providers. Recent 2025 changes include the Vanna 2.0 agent framework and its October 2025 security documentation. Vanna has not announced a specific 2026 model release and does not tie the product to a fixed model or context window.

Vanna’s hosted pricing has two published monthly plans and one custom tier. Explorer costs $50 per month and includes 20 questions per day, admin features in Vanna OSS or Vanna Cloud, API access, and same-day email support. Team costs $500 per month and raises the allowance to 300 questions per day, with setup support and same-day live support. Enterprise has custom pricing, unlimited questions, on-premises deployment support, SAML SSO, an admin API, and custom work. Daily limits reset every 24 hours, and exceeding them causes rate limiting until reset or upgrade. Annual subscriptions receive a 20% discount. The open-source version can be self-hosted without a hosted subscription, but users remain responsible for their infrastructure, model provider, database, and security configuration.

Vanna’s flexibility shifts several difficult decisions onto the implementer. Its hardening guide says starter frontends have no login system, generated SQL can be arbitrary, and generated Plotly code should run in a sandbox. The premium backend security FAQ labels that backend development or demo stage, with limitations including in-memory storage, no encryption at rest, wide-open CORS, no rate limiting, and no authentication middleware. Wren AI is the stronger fit for governed metrics and semantic definitions, while DB-GPT is broader for multi-step analysis, Python, charts, and reports. Dataherald is more API-oriented for teams building their own interface. Vanna is best for developers who want an embeddable, model-flexible SQL agent and are prepared to own deployment and controls.