TextQL

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Overview

An AI-powered data analytics platform enabling users to interact with business data using natural language, automating workflows and generating insights.

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business analysts data scientists IT professionals executives non-technical users

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TextQL is an AI-driven data analytics platform designed to simplify data workflows by allowing users to interact with their business data through natural language queries. It automates the generation of SQL or Python code, creates visualizations, and builds a digital twin of business operations for efficient insights. TextQL integrates seamlessly with existing business intelligence tools, semantic layers, and documentation, democratizing data access and enabling non-technical users to obtain actionable insights swiftly. The platform's AI capabilities uncover hidden patterns, trends, and correlations, empowering data-driven decision-making across various industries.

Autonomy level

50%

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Some of the use cases of TextQL:

Automating data workflows with natural language inputs.
Generating SQL or Python code without manual programming.
Creating visualizations and digital twins of business processes.
Enhancing data accessibility for non-technical users.
Accelerating data-driven decision-making across enterprises.

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Pricing model:

paid

Code access:

closed-source

Popularity level: %

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