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.
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.
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 of DataLang
Natural Language Queries
Data Source Setup
Data View Addition
Chat with Data
The Benefits of DataLang
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
FAQs of DataLang
What is DataLang?
DataLang is a tool that allows users to query their databases using natural language.
How do I set up a data source?
Create a DataLang account and configure your data source, such as a database or file.
What types of data sources are supported?
DataLang supports databases, text files, and various other data source types.
Can I use DataLang for free?
DataLang offers a Starter plan with limited features, as well as paid plans for more extensive use.
What kind of questions can I ask?
You can ask any data-related questions, such as querying user sign-ups, generating reports, or retrieving specific data insights.
Is my data secure with DataLang?
DataLang emphasizes privacy and security, using measures to ensure your data is protected.
Can I integrate DataLang with my existing tools?
Yes, DataLang can be integrated with other tools to enhance its data querying capabilities.
Do I need to know SQL to use DataLang?
No, DataLang is designed to eliminate the need for SQL knowledge by allowing natural language queries.
Can multiple users access the same data source?
Yes, DataLang supports multi-user access with varying permissions based on the subscription plan.
How can I contact support?
You can contact support through their website form or reach out via their provided support email.
DataLang Company Information
Website: https://datalang.io
Company Name: DataLang
Support Email: info@datalang.io
Facebook: NA
X(Twitter): NA
YouTube: NA
Instagram: NA
Tiktok: NA
LinkedIn: NA
Analytic of DataLang
Visit Over Time
Monthly Visits
4.0k
Avg Visit Duration
00:00:10
Page Per Visit
2.24
Bounce Rate
38.28%
May 2024 - Jul 2024 All Traffic
Geography
Top 1 Regions
India
100%
May 2024 - Jul 2024 Worldwide Desktop Only
Traffic Sources Traffic Sources
Search
64.53%
Direct
18.52%
Referrals
14.88%
Social
1.51%
Paid Referrals
0.53%
Mail
0.03%
May 2024 - Jul 2024 Desktop Only
DataLang's Main Competitors and alternatives?
Airtable
Google BigQuery
Zoho Analytics
Knack
QuickBase
DataLang Launch embeds
Use website badges to drive support from your community for your Creati.ai Launch. They're easy to embed on your homepage or footer.