Last updated 07-27-2026
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DataLang - Chat with your Databases
DataLang enables users to interact with multiple databases using natural language, creating GPT-powered assistants that provide instant data insights without coding. Users connect their data sources and build custom SQL views to define the data they want to query. These assistants then allow querying data naturally, making complex database interactions accessible to non-technical users.
What distinguishes DataLang is its balance between flexibility and ease of use. While it supports various database types including SQL and NoSQL, it requires some initial SQL knowledge to create views. However, once configured, users can query data effortlessly through natural language, and customize GPT assistants for specific workflows.
DataLang also emphasizes secure data handling with encryption and role-based privacy controls. It supports API integrations to extend functionality and enables sharing or publishing of GPT assistants for collaboration or public use. This makes it suitable for data analysts, developers, and business users seeking quick, code-free data insights.
Connect multiple database types including SQL and NoSQL for versatile data access
Build custom SQL views to tailor data queries without coding
Create and customize GPT assistants for specific data tasks
Secure data with built-in encryption and role-based privacy controls
Publish or share your GPT assistants for team collaboration or public use
API integration capabilities to connect GPT assistants with other applications
Support for multiple user roles with privacy controls
Supports multiple database connections for flexibility
Enables non-technical users to query data via natural language
Custom GPT creation allows tailored workflows and automation
Secure data handling with encryption and privacy features
Option to publish assistants on ChatGPT store expands reach
Requires initial setup of SQL views which may need technical knowledge
Pricing details are not publicly detailed on the website
Can I connect multiple types of databases to DataLang?
Yes, DataLang supports connecting various database types including SQL and NoSQL, allowing you to query all your data sources through one assistant.
Do I need to know SQL to use DataLang?
Basic SQL knowledge helps when creating data views, but DataLang lets you query your data using natural language without writing SQL once setup is complete.
How does DataLang keep my data secure?
DataLang uses encryption and role-based privacy controls to protect your data and manage access permissions effectively.
Can I share my custom GPT assistants with my team?
Yes, DataLang allows you to share your assistants privately with team members or publish them on the ChatGPT store for wider access.
Is there an option to integrate DataLang with other tools?
DataLang offers API integration capabilities to connect your GPT assistants with other applications and workflows.
What kind of support does DataLang provide?
Support for DataLang varies by plan and includes email support, priority chat support, and dedicated account management for enterprise customers.
Can I customize the behavior of the GPT assistants?
Yes, DataLang lets you configure your assistants using custom SQL views and settings to tailor responses to your specific data needs.