TextQL

TextQL: AI Data Analyst for Enterprise

TextQL is AI data analyst agent that translates business questions to SQL. TextQL sits in the agentic-analytics category alongside Wisdom AI, PromptQL, and Hex's Magic. The semantic-layer learning + multi-surface delivery (Slack, email, web) is the angle that differentiates from generic chat-with-your-data.

Key Features

• AI data analyst agent that translates business questions to SQL
• Auto-generated dashboards and visualizations from results
• Connects to Snowflake, Databricks, BigQuery, Postgres, Redshift
• Semantic-layer learning — understands company-specific metric definitions
• Slack and email surfaces for non-technical business users
• Backed by Sequoia and other top venture investors
• Targets the underserved analyst-augmentation tier of the data stack

Ideal Use Case

Data teams at mid-market and enterprise companies who want to put AI between business stakeholders and the warehouse — eliminating the back-and-forth of ad-hoc Slack data requests.

Why Use TextQL

TextQL sits in the agentic-analytics category alongside Wisdom AI, PromptQL, and Hex's Magic. The semantic-layer learning + multi-surface delivery (Slack, email, web) is the angle that differentiates from generic chat-with-your-data.

FAQ

Q: vs Hex's Magic? A: Hex Magic is integrated into Hex notebook; TextQL is standalone, multi-surface.

Q: Pricing? A: Enterprise contracts; contact for current details.

Q: Self-host? A: Cloud-first with VPC option for enterprise.

Q: Permissions? A: Inherits row-level security from your warehouse; respects existing data permissions.

tl;dr

AI data analyst agent. NL → SQL, dashboards, and insights. Snowflake, Databricks, BigQuery.

Related

Looking for more options? Browse the BI & Analytics directory or read our best AI analytics tools listicle. TextQL is also tracked on Crunchbase.