What databases does WrenAI support?

WrenAI supports a wide range of data sources including Google BigQuery, Snowflake, PostgreSQL, MySQL, and DuckDB, and integrates with transformation tools like dbt.

Is WrenAI open-source?

Yes, WrenAI is an open-source project. You can access the source code on GitHub and self-host it on your own infrastructure for full data sovereignty.

How does the 'Knowledge Base' feature work?

The Knowledge Base allows users to save verified Question-SQL pairs. When similar questions are asked, the AI uses these verified pairs to ensure consistent and accurate results for complex business logic.

Can I embed WrenAI into my own product?

Yes, WrenAI provides an Embedded AI API (available on Essential and Enterprise plans) that allows you to integrate conversational BI directly into your SaaS applications.

Does WrenAI store my data?

No, WrenAI does not store your actual database data. It connects to your database to fetch schema metadata and execute queries, ensuring your data remains in your own infrastructure.

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Database Q&A

Freemium

WrenAI

An open-source GenBI platform that translates natural language into SQL, offering explainable data insights, automated charts, and a unified semantic layer for seamless database Q&A.

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Rating

Reviews

Upvotes

4 months ago

Listed

Database Q&A

SQL Generator

Business Intelligence

Open Source

Data Analytics

Semantic Layer

Text-to-SQL

Data Visualization

Tool information

Provider

WrenAI

Platforms

Web

Self-hosted

Docker

Languages

English

API Available

Yes

Added to directory

4 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About WrenAI

What the tool does and who it's for

WrenAI is an open-source generative business intelligence (GenBI) platform that allows users to interact with their databases using natural language. It functions as an AI data assistant, converting conversational queries into explainable SQL insights. By implementing a unified semantic layer, WrenAI standardizes metrics and business logic across various data sources like BigQuery, Snowflake, and PostgreSQL. It features a text-to-SQL engine, automated data visualization, and AI-powered spreadsheets to streamline data workflows. Designed for both technical data teams and non-technical business users, it reduces manual SQL writing by up to 90% and enables self-service analytics while maintaining robust data governance and security.

Key capabilities

Natural Language Querying: Ask questions in plain English to generate accurate SQL and data insights.

Unified Semantic Layer: Standardizes metrics and business definitions across multiple data sources.

Explainable SQL: Provides full transparency by showing the underlying SQL query for every AI-generated answer.

AI-Powered Visualization: Automatically generates charts and interactive dashboards to reveal data trends.

Data Connectivity: Native integration with BigQuery, Snowflake, PostgreSQL, MySQL, and dbt.

Knowledge Base: Store verified Question-SQL pairs to improve AI accuracy for complex business logic.

AI-powered Spreadsheets: Automate data workflows and fill missing fields within a spreadsheet interface.

Role-Based Access Control: Granular security settings for projects, dashboards, and sensitive data columns.

Embedded Analytics: Integrate conversational BI into existing apps, Slack, or Teams via extensible APIs.

Pricing

Freemium — plans below

Free

20 monthly credits
2 Projects
2 Members
2 Dashboards per project
Semantic Modeling UI (10 tables)
Knowledge Base access

Essential

Enterprise

$449/month

24,000 annual credits
Advanced RBAC
Row and Column level data control
Auditing logs
Custom LDAP/AD support
Priority support

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