Vanna AI alternatives

3 tools to consider instead of Vanna AI, shown against it.

Vanna AI Wren AI Defog.ai Querio
Vendor Vanna AI Canner (Wren AI) Defog.ai Querio
Pricing model Free tier + paid plans Free tier + paid plans Quote only Free tier + paid plans
Free tier Yes Yes — Yes
Deployment Cloud, Self-hosted Cloud, Self-hosted Cloud Cloud
Open source Yes (MIT) Yes (AGPL-3.0) No No
Best for Engineering teams that want a self-hostable, open-source text-to-SQL engine they can train on their own schema. Engineering teams that want an open-source, self-hostable semantic layer under their AI agents rather than a closed SaaS. Organizations willing to work through direct sales for a text-to-SQL analyst built on a purpose-trained model. Teams that want their AI query layer defined and versioned as code rather than configured in a closed SaaS UI.
Pricing

Open-source library is free to self-host with your own LLM; Vanna Cloud is a per-month subscription metered by daily question volume, plus a custom-priced Enterprise tier.

Open source (Vanna Core) Free
Explorer $50/month
Team $500/month
Enterprise Custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Free open-source CLI/engine with no UI; hosted Cloud plans are credit-metered monthly subscriptions, and self-hosted Enterprise Plus is custom-quoted with session-based licensing.

Free (Cloud) $0/month
Essential Cloud $179/month, billed annually
Enterprise Cloud $559/month, billed annually
Enterprise Plus (self-hosted) Custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

No published self-serve pricing; sold via direct contact.

Pricing has not been verified yet — see the vendor's site.

Free self-serve Startup plan with a fixed AI usage credit allowance; Core and Enterprise tiers add data connections, governance, and embedding but require contacting sales for pricing.

Startup Free
Core Not publicly listed
Enterprise Custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features
  • Retrieval-augmented generation trained on schema, docs, and example queries
  • Open-source Python library, MIT-licensed
  • Works with hosted LLMs or local models via Ollama
  • Multi-database support (Snowflake, BigQuery, PostgreSQL, and others)
  • Multi-turn follow-up questions
  • Access-controlled hosted admin UI (Vanna Cloud)
  • Automated chart generation from query results
  • Open-source MDL semantic layer defining tables, joins, and metrics
  • Natural-language-to-SQL via a governed context layer, not raw schema
  • Rust/Apache DataFusion query engine, 20+ data source connectors
  • Agentic and classic query modes
  • dbt integration for existing model definitions
  • Embeddable AI API for building custom interfaces
  • Self-hosted deployment for on-prem or air-gapped environments
  • Natural-language question answering built on the SQLCoder text-to-SQL model
  • Database connectors (PostgreSQL, Snowflake, and others)
  • CSV upload for ad hoc analysis
  • Follow-up question support for iterative exploration
  • Data-privacy commitment that customer data is not used for model training
  • Version-controlled ('analytics as code') semantic context layer
  • AI-powered notebooks for question answering and exploration
  • MCP, API, and CLI access for agent integrations
  • Scheduled dashboard and report delivery via Slack and email
  • White-label embedding with SSO and row-level security
  • Direct warehouse connections (Snowflake, BigQuery, Postgres)

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