Vanna.ai vs Wren AI
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Tagline
Vanna.ai
Open-source text-to-SQL agent that learns your schema and writes queries against your real warehouse.Wren AI
Open-source GenBI semantic layer that lets AI agents query your warehouse in natural language with governed, accurate SQL.Pricing
Vanna.ai
FreemiumΒ· Explorer: $50 Β· Team: $500 Β· Enterprise: Contact salesWren AI
FreemiumΒ· Free: $0 Β· Essential Cloud: $179 Β· Enterprise Cloud: $559 Β· Enterprise Plus: Contact UsLowest paid tier
Vanna.ai
$50 Β· Explorer
captured 2026-08-09
Wren AI
$179 Β· Essential Cloud
captured 2026-08-10
Free trial
Vanna.ai
YesWren AI
YesAPI
Vanna.ai
YesWren AI
YesPlatforms
Vanna.ai
api
Wren AI
api
Open source
Vanna.ai
YesWren AI
Yes Β· NOASSERTIONGitHub stars
Vanna.ai
βWren AI
17,782
checked 2026-09-29
Last GitHub push
Vanna.ai
βWren AI
2026-09-29First commit
Vanna.ai
βWren AI
2024-03Model used
Vanna.ai
Multi-model (Anthropic, OpenAI, Gemini, Ollama)Wren AI
Multi-model (OpenAI, Anthropic, Gemini, self-hosted)Best for
Vanna.ai
Pick Vanna.ai if you want a self-hostable, model-agnostic text-to-SQL layer you can train on your own warehouse without shipping schemas to a closed SaaS.Wren AI
Pick Wren AI if you want an open-source, governed text-to-SQL layer that any LLM agent can hit instead of pointing models straight at your warehouse.Not for
Vanna.ai
Skip it if you want a no-code BI dashboard out of the box or have no appetite to curate training examples for accuracy.Wren AI
Skip it if you need a polished, no-code BI dashboard for business users or a turnkey SaaS without any semantic modeling work.Editorial score
Vanna.ai
8.3 / 10Wren AI
8.0 / 10Use cases
Vanna.ai
text-to-sqlnatural-language-bidata-analyticswarehouse-queryingrag-over-schema
Wren AI
text-to-sqlsemantic-layeragentic-bidata-governancenatural-language-analytics
Pros
Vanna.ai
- MIT-licensed core; fully self-hostable with your own LLM and vector store
- Model-agnostic across Anthropic, OpenAI, Gemini, and local Ollama
- Trainable on your schema, docs, and prior queries via RAG (not zero-shot)
- Connects directly to Snowflake, BigQuery, Postgres, MySQL, SQLite and more
- Cloud tier adds access control, audit logs, and observability for teams
Wren AI
- Apache-licensed semantic layer you can fully self-host
- LLM-agnostic; works with OpenAI, Anthropic, Gemini or private models
- 20+ warehouse connectors and dbt integration out of the box
- Active community with weekly releases and 60+ agent integrations
Cons
Vanna.ai
- Quality depends heavily on how much training data you curate
- Self-hosted setup requires Python and some glue work
- Inherits LLM hallucinations on complex joins or messy schemas
Wren AI
- Requires data-engineering effort to model MDL well
- Enterprise features (SSO, governance UI) gated behind paid cloud
- Quality of generated SQL still depends on the LLM you bring
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.
Pick Vanna.ai if
- β MIT-licensed core; fully self-hostable with your own LLM and vector store
- β Model-agnostic across Anthropic, OpenAI, Gemini, and local Ollama
- β Trainable on your schema, docs, and prior queries via RAG (not zero-shot)
- β Connects directly to Snowflake, BigQuery, Postgres, MySQL, SQLite and more
Pick Wren AI if
- β Apache-licensed semantic layer you can fully self-host
- β LLM-agnostic; works with OpenAI, Anthropic, Gemini or private models
- β 20+ warehouse connectors and dbt integration out of the box
- β Active community with weekly releases and 60+ agent integrations