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Documentation Index

Fetch the complete documentation index at: https://docs.textql.com/llms.txt

Use this file to discover all available pages before exploring further.

TextQL welcome
TextQL connects to your data warehouses and systems of record so anyone in your organization can ask questions, run analyses, and get answers — all in plain language. Ana is TextQL’s AI data scientist. She writes SQL, runs Python, searches the web, and produces charts, reports, dashboards, and files through natural conversation.

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What Ana Can Do

Ana threads interface
Ana is equipped with a set of tools she uses to answer questions and complete tasks. Each tool handles a different part of the analysis workflow.

Text-to-SQL

Writes and runs SQL against your connected data warehouses and databases — no query knowledge required.

Python

Runs Python for data transformations, statistical analysis, chart generation, and file exports.

Web Search

Searches the web to enrich analysis with real-time external data, market context, or public benchmarks.

Ontology

Queries against a governed metrics layer for teams that need consistent, enforced definitions.

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How TextQL is Different

TextQL dashboard
Works across your entire data stack — no ETL required Most tools lock you into one ecosystem. TextQL connects to 50+ sources simultaneously — join HubSpot marketing data with Postgres transactional data and Snowflake warehouse analytics in a single query, without moving or duplicating data. An agent, not a chatbot General-purpose AI tools require you to manually re-prompt for every step. TextQL runs end-to-end workflows autonomously: schedule recurring reports via Playbooks, detect anomalies proactively, and deliver insights via Slack or email — all without human intervention. Built for everyone, not just data teams No SQL. No Python. No training required. Business users across sales, finance, marketing, and operations get answers in plain English. Data teams stop fielding repetitive requests and focus on higher-value work. Usage-based, not per seat TextQL charges for usage, not headcount. As your organization grows from 50 to 500 users, the per-user cost approaches zero. Every employee can have access — not just the ones with a BI license. See Pricing. Enterprise-ready out of the box SOC 2 Type II certified and HIPAA-ready, with role-based access control, audit logging, and support for on-premises and VPC deployments.

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Core Concepts

ConceptWhat it is
ThreadsConversational sessions with Ana — ask questions, follow up, and refine
ConnectorsLive connections to your data warehouses and systems of record
ContextBackground knowledge Ana uses to give business-specific answers
OntologyA structured map of your business data for deterministic, repeatable queries
FeedA shared activity stream where agents publish insights for your team
AgentsLong-horizon AI workers that continuously watch your data, and collaborate with other agents to find insights
PlaybooksAutomated analyses that run on a schedule
DashboardsPersistent data views built from Ana’s outputs

Connect Your Data

Connect a warehouse, upload a file, or link a BI tool

Your First Chat

Step-by-step walkthrough of your first conversation with Ana