TextQL enables users to interact with databases using natural language, allowing for quick data retrieval and analysis. It simplifies the traditionally complex process of querying databases.
AI Platforms & Frameworks
Text Generation
Predictive Analytics
Data Analysis
#data extraction
#Natural Language Processing
#database insights
#data visualization tools
#Non-Technical Users
#AI Data Analysis
#query simplification
#decision making
#analytics automation
#user-friendly queries
#Business intelligence
#intuitive software
#tech-savvy solutions
#data reporting
#informative analytics
#easy data access
#efficient data management
#smart querying
#Data-Driven Decisions
#insight generation
...
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TextQL
TextQL enables users to interact with databases using natural language, allowing for quick data retrieval and analysis. It simplifies the traditionally complex process of querying databases.
AI Platforms & Frameworks
Text Generation
Predictive Analytics
Data Analysis
#data extraction
#Natural Language Processing
#database insights
#data visualization tools
#Non-Technical Users
#AI Data Analysis
#query simplification
#decision making
#analytics automation
#user-friendly queries
#Business intelligence
#intuitive software
#tech-savvy solutions
#data reporting
#informative analytics
#easy data access
#efficient data management
#smart querying
#Data-Driven Decisions
#insight generation
...
Featured
What is TextQL?
TextQL is a powerful AI tool that allows users to extract data and insights from various databases using simple and intuitive natural language queries. It converts complex queries into language that users can easily understand and utilize, thus streamlining the process of data analysis and reporting. This makes data-driven decision-making more accessible for users with varying levels of technical expertise.
Who will use TextQL?
- Data Analysts
- Business Analysts
- Researchers
- Project Managers
- Corporate Executives
How to use the TextQL?
- Step1: Sign up for an account on TextQL's website.
- Step2: Connect your database to the platform.
- Step3: Enter your natural language queries in the provided input field.
- Step4: Review the fetched data and insights.
- Step5: Export results or use them for further analysis.
Platform
- web
TextQL's Core Features & Benefits
The Core Features
- Natural Language Processing
- Database Querying
- Data Visualization
The Benefits
- Simplifies data extraction
- Empowers non-technical users
- Faster decision making
TextQL's Main Use Cases & Applications
- Business Intelligence Reporting
- Market Research Analysis
- Operational Data Retrieval
TextQL's Pros & Cons
The Pros
Ability to connect and join data from hundreds of tables across diverse data sources
Agentic AI architecture that understands complex data relationships automatically
Enterprise-grade security with SOC 2 Type II certification and private cloud deployment
Cloud agnostic, supporting AWS, Azure, and Google Cloud
Enables comprehensive and deep insight discovery for enterprise decision making
The Cons
No publicly available open source code or GitHub repository
No apparent mobile or app store presence
Limited direct pricing transparency on the website
Requires enterprise infrastructure deployment, may be complex to set up for smaller organizations
FAQs of TextQL
TextQL Company Information
Analytic of TextQL
Visit Over Time
Monthly Visits
8.5k
Avg Visit Duration
00:02:07
Page Per Visit
2.12
Bounce Rate
60.02%
Sep 2025 - Nov 2025 All Traffic
Geography
Top 3 Regions
United States
80.57%
India
15.22%
Vietnam
4.21%
Sep 2025 - Nov 2025 Worldwide Desktop Only
Traffic Sources
Direct
48.80%
Search
31.51%
Social
12.07%
Referrals
6.46%
Paid Referrals
1.04%
Mail
0.06%
Sep 2025 - Nov 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| textql | 2.2k | $ 2.31 |
| textql login | 140 | $ -- |
| textql raise | 210 | $ -- |
| textql pricin | 100 | $ -- |
| textql funding | 60 | $ -- |
TextQL Reviews
5/5
TextQL's Main Competitors and alternatives?
- Tableau
- Power BI
- Looker
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