Defog vs Vanna
A side-by-side comparison of Defog and Vanna, two Analytics tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Vanna
AnalyticsOpen-source SQL agent — ask questions in plain English, get accurate SQL on your warehouse.
View VannaAt a glance
| Attribute | Defog | Vanna |
|---|---|---|
| Category | Analytics | Analytics |
| Pricing (differs) | PAID | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | Web, API | Web, CLI |
| Model support (differs) | Self-contained (on-device) | Multi-model |
| Vendor (differs) | Defog, Inc. | Vanna AI |
| Capabilities (differs) |
|
|
The honest brief
Defog
Powered by its own open SQLCoder model rather than a general LLM, with a privacy stance that never sends your data to the model.
- Purpose-built SQLCoder model
- Strong data-privacy stance
- Connects to many DBs and warehouses
- YC-backed (W23)
- Pricing not publicly listed
- Small team and product
- Scope focused on SQL analytics
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
When to pick which
Both cover Text-to-SQL and Data analysis / BI.
Pick Vanna if you need RAG pipeline.
- RAG pipeline (secondary capability)
They also differ on:
- Pricing
- PAID · FREEMIUM
- License
- Proprietary · Open core
- Deployment
- Cloud · Hybrid
- Platforms
- Web, API · Web, CLI
- Model support
- Self-contained (on-device) · Multi-model