TextQL organizes business logic into a data ontology for answering questions across company analytics.

textql.com
TextQL homepage screenshot

About TextQL

TextQL is a web platform that builds a data ontology from a company's business logic and answers questions over it. It maps data from warehouse and business systems — the homepage lists connectors for Snowflake, Databricks, BigQuery, Redshift, Postgres, SQL Server, Oracle, Teradata, ClickHouse, SAP, Workday, Coupa, Salesforce, Power BI and Tableau — and then supports conversational analytics, data apps and dashboards, and agents that can write results back into source systems. The ontology records what each task finds so later tasks reuse it instead of rediscovering the schema.

The site targets large and regulated organizations, naming healthcare, financial services and large enterprises, and references healthcare standards such as HIPAA, PHI boundaries, 42 CFR Part 2 and HL7/FHIR. TextQL advertises lower cost and higher accuracy on repeated questions, though the homepage's own metric figures appear as unpopulated placeholders. Pricing is not published on the site, and the platform is not open source.

Key features

  • Maps data from warehouses such as Snowflake, BigQuery, Databricks and Postgres into an ontology
  • Conversational analytics where each answer arrives with the underlying query
  • Agents that watch, decide and write results back into source systems
  • Ontology stores what each task finds so later tasks inherit it
  • Data apps and dashboards built per question and embeddable
  • Reads BI measures from Power BI and Tableau
Best for: Analytics and data teams in large or regulated organizations that need to query data spread across many warehouse and business systems in plain language.
Good for
  • Combines ontology, agents, conversational analytics and data apps in one platform rather than separate integrated tools
  • Lists connectors across warehouses, ERP, CRM and BI measure sets on a single homepage
  • Publishes customer case studies and testimonials from named companies
Watch out for
  • No pricing information is published on the homepage
  • Advertised cost and accuracy improvements appear on the homepage as placeholder values rather than filled-in figures
  • Available only as a hosted web product; not open source

TextQL at a glance

Website
textql.com
Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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TextQL FAQ

What data sources can TextQL connect to?
The homepage lists connectors including Snowflake, Databricks, BigQuery, Redshift, Postgres, SQL Server, Oracle, Teradata, ClickHouse, SAP, Workday, Coupa, Salesforce, Power BI and Tableau.
Does TextQL show how an answer was produced?
The site states that every answer arrives with the query underneath it.
How much does TextQL cost?
The homepage does not publish pricing; it offers a get-started option and a demo request instead.
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