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Vanna vs Wren AI

A side-by-side comparison of Vanna and Wren AI, two Analytics tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Vanna

Analytics

Open-source SQL agent — ask questions in plain English, get accurate SQL on your warehouse.

View Vanna

Wren AI

Analytics

Open-source GenBI agent: ask in plain language, get governed SQL, charts, and dashboards.

View Wren AI

At a glance

Feature comparison of Vanna and Wren AI
AttributeVannaWren AI
CategoryAnalyticsAnalytics
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
Platforms (differs)Web, CLIWeb, API
Model support (differs)Multi-modelBYO key / model
Vendor (differs)Vanna AICanner

The honest brief

Vanna

Trains a RAG layer on your own schema, queries and docs so generated SQL matches your warehouse, instead of guessing from the schema alone.

  • MIT-licensed open-source core
  • Learns your schema via RAG training
  • Works with major warehouses and LLMs
  • Returns DataFrames and Plotly charts
  • Accuracy depends on the training data you feed it
  • Hosted enterprise features are paid
  • Setup assumes Python familiarity

Wren AI

Self-hostable Apache-2.0 GenBI with a semantic layer that grounds agent SQL across 20+ databases — where Genie, Julius, and Hex are closed SaaS.

  • Self-host via Docker or use managed cloud
  • Semantic layer grounds SQL, cuts hallucination
  • Many warehouses and databases via one engine
  • LLM-agnostic: OpenAI, Claude, Gemini, Ollama
  • 2026 pivot froze the original GenBI UI at v1
  • Best-tested on OpenAI; other models less so
  • RBAC, auditing, row-level security are paid
  • Docs split between v1 app and new core
Vanna detailsWren AI detailsAll Analytics apps