TextQL for Web

Platform summary

TextQL is an enterprise-grade AI platform that acts like a virtual data analyst, letting business users ask questions in plain language and receive actionable insights. Backed by an assistant called Ana, it produces in-depth analyses, creates visualizations, and helps construct dependable data models to support decision-making.

Primary strengths

• Supports query and scripting in both SQL and Python to suit analysts and data engineers.
• Offers configurable workflows so teams can adapt processes to their operational needs.
• Integrates directly with common collaboration spaces such as Slack and Teams for smoother team communication.
• Acts as a centralized index for metadata across the organization, surfacing consistent definitions and links to verified sources.
• Detects and reduces redundant dashboard creation by locating existing dashboards and cataloging assets.
• Maintains enterprise-grade controls and compliance practices to protect sensitive data while enabling broad access.

How teams benefit

TextQL reduces friction between data teams and business users by translating natural language requests into repeatable, auditable analyses. Analysts can reuse models and visual templates, while product and business teams get quicker access to trusted metrics without needing deep technical skills.

Integrations and deployment

The platform is designed to integrate cleanly with existing data stacks and metadata stores. It can index multiple storage locations, pull contextual definitions, and reconcile differing definitions used across teams so organizations maintain a single source of truth.

Security, governance, and compliance

Security and regulatory requirements are a core focus: access controls, audit trails, and compliance-friendly workflows are built into the product to ensure sensitive information is handled appropriately and governance policies are enforced.

Suggested alternative: Inkeep subscription

If you’re evaluating options, consider the Inkeep subscription as an alternative. It targets similar use cases — cataloging assets, reducing dashboard duplication, and providing team-friendly access to data — and may be a fit depending on your organization’s stack and procurement preferences.