DataLang
Build custom chatbots from multiple data sources
Target Audience
- Customer support teams
- Data-driven businesses
- SaaS product owners
- Internal knowledge managers
Hashtags
Overview
DataLang lets you create AI-powered chatbots by connecting your existing data from SQL databases, files, websites, and productivity tools like Notion and Google Sheets. Share your chatbot through public links, website embeds, or even publish it to the GPT Store – no coding required to deploy conversational interfaces.
Key Features
Multi-Source Integration
Connect databases, files, and web content seamlessly
Flexible Deployment
Share via URL, widget, API, or GPT Store
No-Code Setup
Configure chatbots through simple data views
Branding Control
Remove DataLang branding from all plans
Use Cases
Build customer support chatbots
Analyze business data through conversation
Create internal knowledge bases
Publish GPT Store assistants
Pros & Cons
Pros
- Four deployment options including GPT Store
- Simple 4-step setup process
- API access available
- Brand removal in all pricing tiers
Cons
- Free plan limited to basic chatbots
- Higher-tier pricing jumps significantly
Pricing Plans
Free
monthlyFeatures
- Basic chatbot creation
- Remove branding
Basic
monthlyFeatures
- Small-scale projects
- Remove branding
Pro
monthlyFeatures
- Team collaboration
- Remove branding
Business
monthlyFeatures
- Enterprise-scale deployment
- Remove branding
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
What data sources can I connect?
SQL databases, files (text/HTML), Notion, and Google Sheets
How do I share my chatbot?
Through public URL, website embed, GPT Store, or API
Is coding required to use DataLang?
No, uses no-code configuration through data views
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