DataLang
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About
DataLang is a specialized platform designed to transform raw data from various sources into interactive, conversational AI chatbots. By connecting directly to structured databases like PostgreSQL, MySQL, and Snowflake, or to productivity tools such as Notion and Google Sheets, users can create a bridge between their data and Large Language Models. This allows team members or customers to query complex datasets using natural language instead of writing technical code or manually scouring spreadsheets for information. The tool operates through a streamlined four-step workflow that begins with connecting a data source and defining specific data views to expose only the necessary information. Once the data is synced, users can configure and train their chatbot using GPT-based models. The final stage offers versatile deployment options, including a standalone public URL, an embeddable website widget, a direct API for custom integrations, or even publishing a custom GPT to the OpenAI GPT Store. DataLang is ideally suited for data analysts, product managers, and developers who need to democratize data access within their organizations. For instance, a support team can connect their HubSpot data to provide instant answers to customer queries, while a business operations lead can turn internal project spreadsheets into a conversational assistant. It effectively acts as a middle-layer that handles the complexities of data retrieval and conversational logic, making it accessible to those without extensive AI engineering backgrounds. What distinguishes DataLang from general chatbot builders is its deep focus on live data connectivity and flexible infrastructure. While many tools only support static document uploads, DataLang supports real-time database connections and ODBC-compliant servers. Furthermore, it offers a self-hosted enterprise option for organizations that require full control over their data and infrastructure, alongside a unique pricing model that allows even free users to remove platform branding from their widgets.
Pros & Cons
Supports a vast range of data sources including Snowflake, Amazon Redshift, and HubSpot.
Provides four distinct sharing methods, including the GPT Store and a dedicated API.
Allows removal of platform branding even on the free version of the tool.
Offers a self-hosted deployment option for enterprises with high security needs.
Customer support is completely unavailable for users on the Free and Basic pricing tiers.
The Business plan is limited to only 12 users despite the high monthly cost.
Some enterprise database connections like Oracle or Redshift may require custom ODBC configuration.
Use Cases
Data Analysts can connect SQL databases to let non-technical team members query business metrics using natural language.
Customer Support Teams can sync HubSpot and Notion documentation to create a website widget that answers product questions instantly.
Product Managers can turn Google Sheets into a private chatbot to track project milestones and internal progress via chat.
Developers can use the API feature to build custom applications that interact with structured databases through a conversational interface.
Enterprise Security Officers can deploy the platform on-premises using the self-hosted plan to ensure data never leaves their infrastructure.
Platform
Task
Features
• multi-user collaboration
• self-hosting support
• custom data views
• database to api bridge
• gpt store deployment
• website chatbot widget
• notion & google sheets integration
• sql database connectivity
FAQs
What types of data sources can I connect to DataLang?
DataLang supports a wide variety of sources including SQL databases like PostgreSQL, MySQL, and SQL Server, as well as cloud tools like Google Sheets, Notion, and HubSpot. You can also upload local files or scrape content directly from a website URL.
How can I share the chatbot once it is built?
You can share your chatbot using a unique public URL, embed it directly into your website as a widget, or publish it to the OpenAI GPT Store. Additionally, you can interact with your data programmatically via the DataLang API.
Does DataLang offer a self-hosted option for better security?
Yes, DataLang provides a self-hosted enterprise plan starting at $20,000 per year. This allows you to deploy the software on your own infrastructure and use your own OpenAI API keys for complete data control.
Can I remove the DataLang branding from my chatbot?
Yes, the option to remove the 'Powered by DataLang' branding is included in all plans, including the Free tier. This allows you to maintain a professional look for your embedded widgets and public URLs.
What is the 'Database to API' feature?
This feature allows you to expose specific views of your database as a conversational API. It enables developers to integrate their structured data into other applications without building custom backend logic for every query.
Pricing Plans
Basic
USD19.00 / per month• 2 users
• 10 data sources
• 1,000 credits/month
• Chatbot Widget
• Remove powered by DataLang
• No support
Pro
USD49.00 / per month• 6 users
• 50 data sources
• 3,000 credits/month
• Chatbot Widget
• Remove powered by DataLang
• Basic support
Business
USD399.00 / per month• 12 users
• 1,000 data sources
• 20,000 credits/month
• Chatbot Widget
• Remove powered by DataLang
• Priority support
Self-hosted
USD20000.00 / per year• Self-hosted infrastructure
• Use your own OpenAI key
• Unlimited users
• Unlimited data sources
• Unlimited credits
• Yearly updates
• Account manager
Free
Free Plan• 1 user
• 1 data source
• 100 credits
• Chatbot Widget
• Remove powered by DataLang
• No support
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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