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Try NowWhat is Vanna 2.0?
Vanna is an open-source AI tool designed to enable users to query multiple databases using natural language instead of SQL. Built to work with any large language model (LLM) provider and various database systems, Vanna simplifies data access for users regardless of their SQL expertise. It supports multi-database environments including SQLite, PostgreSQL, MySQL, Snowflake, and BigQuery, among others. Vanna offers features like access control, real-time observability, agent memory with a hosted vector database, secure file storage, audit logs, and data retention for compliance. This tool is ideal for organizations looking to empower non-technical users to generate insights from data efficiently, reducing reliance on specialized SQL knowledge. It fits workflows that require secure, scalable, and user-friendly data querying across diverse data sources.
AI Tool Review Summary
4.5/5
Accurate and context-aware
Developer-friendly with optional hosted admin UI
LLMNLP
To enable natural language querying of multiple databases for accessible data insights.
Compatible with any LLM provider and multiple database platforms, fitting into diverse data ecosystems.
Open-source core with optional paid hosted admin features
Features with the highest value for users are highlighted here.
Natural language SQL querying
Multi-database support
Integration with multiple LLM providers
Access control and permissions
Real-time metrics and tracing
Hosted vector database for agent memory
Secure file storage
Audit logging and data retention
How It Works
1
Choose Your LLM Provider
Select from supported large language models like OpenAI, Anthropic, Gemini, or Ollama.
2
Connect Your Databases
Integrate multiple databases such as PostgreSQL, MySQL, Snowflake, or BigQuery.
3
Configure Access and Features
Set up access control, observability, and agent memory as needed.
4
Query Using Natural Language
Users interact with data by typing natural language queries that Vanna translates into SQL.
Data Analysts
Product Managers
Business Intelligence Teams
Developers
Small Businesses
Enterprise IT Teams
Data Engineers
Non-technical Users
Startups
Compliance Officers
Open Source
$0/free
Full access to core framework Support for multiple LLMs and databases Community support
Popular
Hosted Admin
$49/monthly
Access control Real-time observability Agent memory with vector DB Audit logs and data retention
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Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Enables non-technical users to query databases easily. Supports a wide range of databases and language models.
Requires some setup and configuration for optimal use. Hosted admin features may involve additional costs.
FAQs
Just Launched
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Rating
5.0
Pros
Cons
Quick Vanna 2.0 Comparision
Side-by-side with top alternatives in this category.
| Tool | Rating | Visits / mo | Global rank | Category rank | Engagement | Bounce | Top market | Starts at | Free tier | Integrations | Action |
|---|---|---|---|---|---|---|---|---|---|---|---|
 Vanna 2.0AI Data Management | 62.7K | #565,211 | — | 1m2.0 pages | CN(49%)#56,925 | $0 | 1 | View | |||
 AadhaarFaceRDAI Data Management | 1.1B | — | — | 2m2.6 pages | US(15%) | $0 | — | View | |||
 Tarot TransformerAI Data Management | 140.9M | — | — | 48s1.6 pages | US(25%) | $0 | — | View | |||
 AirtableAI Data Management | 26.5M | #1,338 | #21 | 9m 10s8.1 pages | US(47%)#676 | $0 | 1 | View | |||
 Hint AppAI Data Management | 13.3M | #4,336 | #2 | 2m 19s2.9 pages | US(56%)#984 | $1.00 | 1 | View |
Analytics of Log in to Vanna.AI
Website traffic and keyword analysis.
Live dataFeb 2026 – Apr 2026
Monthly visits
62.69K
↑ +18.5% vs prior month
Avg. visit duration
00:01:00
M 4 2026 snapshot
Pages / visit
2.02
M 4 2026 snapshot
Bounce rate
46.62%
Lower is better
All traffic · Worldwide
Weekly estimate · Feb 1, 2026 – Apr 29, 2026
Peak week: 12.54K (Apr 1, 2026)Low week: 9.37K (Feb 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent
Release History
0 releases published
No releases yet.
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