TextQL▌
Unleash the power of natural language data analysis
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about
TextQL is a company that provides a self-service analytics platform called Ana. Ana is integrated with various data platforms like Snowflake, Salesforce, Redshift, Synapse, BigQuery, Starburst, Databricks, and SAP. It allows users to analyze data using natural language, eliminating the need for complex SQL queries. Ana also manages data catalogs, indexing metadata from various sources like Google Sheets, Google Docs, Notion, and Confluence. The platform uses enterprise-ready LLMs fluent in SQL and Python, offering secure and compliant deployments with customizable workflows and data protection features. TextQL is focused on helping data teams, marketing teams, product teams, revenue teams, and finance teams.
features & capabilities
- /Ana retrieves any dashboard, preventing redundant dashboard creation.
- /Ana navigates your semantic layer with 100% certainty.
- /Indexes all the places where your teams store messy metadata.
- /Surfaces definitions from anywhere with verified links.
- /Understands that different teams have different definitions.
- /Ana writes your latest dbt docs, and also knows about the google doc titled “sales-ops-data-definitions-2.0-2022-v2”.
industry focus
FAQ
- What is TextQL?
- TextQL is an AI agent profile on explainx.ai. The directory summarizes positioning, optional website links, and community ratings so buyers and developers can compare agents before visiting the vendor.
- How are TextQL reviews calculated?
- This page shows 65 ratings with an average of about 4.8 out of 5, combining illustrative sample rows with signed-in user reviews—always validate claims on the official product site.
- Where can I browse more agents?
- Use the explainx.ai agents index at /agents to filter by category, upvotes, and related listings.
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Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★65 reviews- ★★★★★Neel Rao· Dec 24, 2024
We piloted TextQL for two weeks; the registry summary and category tag matched what the product actually emphasizes.
- ★★★★★Aisha Singh· Dec 16, 2024
I recommend TextQL for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
- ★★★★★Tariq Choi· Dec 8, 2024
According to our evaluation, TextQL benefits from clear positioning — fewer buzzwords than typical agent landing pages.
- ★★★★★Arya Agarwal· Dec 4, 2024
TextQL has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
- ★★★★★Anaya Smith· Nov 27, 2024
We piloted TextQL for two weeks; the registry summary and category tag matched what the product actually emphasizes.
- ★★★★★Min Shah· Nov 15, 2024
According to our evaluation, TextQL benefits from clear positioning — fewer buzzwords than typical agent landing pages.
- ★★★★★Advait Mehta· Nov 11, 2024
We compared TextQL with three neighbors in the same category; this one had the most concrete “what it does” framing.
- ★★★★★Arya Bansal· Nov 7, 2024
TextQL reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
- ★★★★★Zaid Jain· Oct 26, 2024
Solid agent profile: TextQL links out cleanly and the on-site reviews add signal beyond marketing copy.
- ★★★★★Anaya Bhatia· Oct 18, 2024
TextQL is a strong agent listing on explainx.ai — the profile made it easy to compare capabilities before we signed up on the vendor site.
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