What is DataLang?
DataLang is an innovative platform that transforms the way organizations interact with their data through custom chatbots. The platform seamlessly integrates with multiple data sources, including SQL databases, files, HTML, Notion, and Google Sheets, allowing users to create sophisticated conversational interfaces for their data.
The platform offers comprehensive deployment options, enabling users to share their chatbots via public URLs, embed them directly into websites, or publish them to the ChatGPT Store. With support for various database systems like PostgreSQL, MySQL, Snowflake, and SQL Server, DataLang provides a versatile solution for organizations seeking to make their data more accessible and interactive.
Features
- Multiple Data Source Integration: Connect to SQL databases, files, HTML, Notion, and Google Sheets
- Flexible Deployment Options: Share via public URL, website widget, or ChatGPT Store
- Database Compatibility: Support for PostgreSQL, MySQL, Snowflake, SQL Server, and more
- API Access: Programmatic interaction with chatbots
- Custom Configuration: Tailored chatbot settings for specific data sources
Use Cases
- Creating customer support chatbots
- Building internal data query systems
- Developing interactive documentation assistants
- Setting up data-driven FAQ systems
- Creating custom GPTs for specific databases
FAQs
-
How many credits do I get with each plan?
Free plan includes 100 credits, Basic plan offers 1,000 credits/month, Pro plan provides 3,000 credits/month, and Business plan includes 20,000 credits/month. -
What types of databases does DataLang support?
DataLang supports PostgreSQL, MySQL, Snowflake, SQL Server, MariaDB, Oracle, Amazon Redshift, SQLite, and DSN with ODBC. -
Can I remove the DataLang branding from the chatbot?
Yes, all paid plans allow you to remove the 'powered by DataLang' branding from the chatbot widget.
Related Queries
Helpful for people in the following professions
DataLang Uptime Monitor
Average Uptime
98.61%
Average Response Time
641.89 ms
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