- 1 user
- 1 data source
- 100 credits
- Chatbot Widget
- Remove powered by DataLang
- No support
DataLang is a versatile tool that enables you to effortlessly query your databases using natural language. By simplifying complex data interactions, it allows users to ask questions as if communicating with a person, and retrieves answers efficiently.
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DataLang
DataLang is a versatile tool that enables you to effortlessly query your databases using natural language. By simplifying complex data interactions, it allows users to ask questions as if communicating with a person, and retrieves answers efficiently.
Featured
What is DataLang?
DataLang is a sophisticated yet simple tool that allows for the querying of databases through natural language. Users can set up their data sources, add data views, and interact with their data as if they were having a conversation. This eliminates the need for complex SQL queries, enabling users to obtain quick insights and responses using just plain language.
Who will use DataLang?
- Business Analysts
- Data Scientists
- Database Administrators
- Small Business Owners
- Researchers
- Students
- Enterprise Teams
- Developers
How to use the DataLang?
- Step1: Create a DataLang account.
- Step2: Set up your data sources (databases, files, text, etc.).
- Step3: Add a data view to expose data from a specific source.
- Step4: Use natural language to ask questions and retrieve data insights.
Platform
- web
DataLang's Core Features & Benefits
The Core Features
- Natural Language Queries
- Data Source Setup
- Data View Addition
- Chat with Data
The Benefits
- Simplifies data interactions
- Enables quick insights
- User-friendly interface
- Reduces the need for complex SQL queries
DataLang's Main Use Cases & Applications
- Business analytics
- Generating reports
- Market research
- Educational purposes
- Automating data retrieval
- Enhancing customer support
DataLang's Pros & Cons
The Pros
Supports multiple data source integrations including SQL databases, files, and APIs.
Easy to share chatbots via public URL, embedding, or publishing to GPT Store.
Offers different pricing plans suitable for individuals to large enterprises.
Allows chat interaction with data to simplify data access and insights.
Provides API access for flexible integration.
The Cons
No explicit open-source availability.
Limited support on lower-tier plans.
No mobile app presence indicated.
Potentially complex for non-technical users to setup data sources.
DataLang's Pricing
| Has free plan | YES |
|---|---|
| Free trial details | |
| Pricing model | Freemium |
| Is credit card required | No |
| Paid from | 19 USD |
| Has lifetime plan | No |
| Billing frequency | Monthly |
Details of Pricing Plan
Free
0 USDBasic
19 USD- 2 users
- 10 data sources
- 1,000 credits/month
- Chatbot Widget
- Remove powered by DataLang
- No support
Pro
49 USD- 6 users
- 50 data sources
- 3,000 credits/month
- Chatbot Widget
- Remove powered by DataLang
- Basic support
Business
399 USD- 12 users
- 1,000 data sources
- 20,000 credits/month
- Chatbot Widget
- Remove powered by DataLang
- Priority support
FAQs of DataLang
DataLang Company Information
DataLang Reviews
5/5
DataLang's Main Competitors and alternatives?
- Airtable
- Google BigQuery
- Zoho Analytics
- Knack
- QuickBase
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