DataLang – Survto AI
Menu Close
DataLang
☆☆☆☆☆
ChatGPT (134)

DataLang

Chat with your Databases

Visit Tool

Starting price Free + from $19/mo

Tool Information

Create GPT assistants and Custom GPTs from your databases. 1. Set up your Data Source (database) 2. Add some Data Views (SQL scripts) 3. Configure your GPT Assistant (from selected sources) 4. Chat with the built-in Assistant or create a custom GPT 5. Publish it on the ChatGPT store or share it privately to chat with your data!

F.A.Q (19)

Datalang is an AI tool that enables users to query their databases using natural language, effectively bridging the gap between technical expertise and end-users.

Datalang works by converting the questions posed by the users in natural language to database queries. It uses GPT-3 to generate natural language answers for the users based on their queries.

You can ask Datalang almost any question you would ask a data analyst. Examples include questions about the number of users in a given timeframe or the most common values in a specific field.

No, you don't need any technical knowledge to use Datalang. You just need to know your data source connection string.

Datalang ensures data security by encrypting connection string credentials. The credentials are only decrypted when necessary for data operations.

Yes, Datalang can be integrated with other tools. It has an API to manage data sources and questions.

Datalang uses GPT-3 AI technology to generate natural language answers.

Datalang uses GPT-3 to generate human-like, natural language answers based on user queries.

To set up your data source on Datalang, you need to configure your connection string and name your data source.

Datalang makes data insights more accessible by enabling non-technical users to ask queries to their database in natural language and generate human-like answers with the help of GPT-3.

To get data insights from Datalang, follow these three steps: 1. Set your data source by configuring your connection string and naming it. 2. Ask your question in natural language. 3. Get your answer, which Datalang generates using GPT-3.

Datalang is very user-friendly. It's designed to be easy to use and doesn't require any technical knowledge. Users only need to know their data source connection string to get started.

Yes, you can manage your data sources and questions through Datalang's API.

GPT-3 fits into the functionality of Datalang by enabling the generation of human-like, natural language answers to user queries.

Data privacy is ensured in Datalang by encrypting connection string credentials, ensuring data operations are securely managed.

Datalang translates your questions into database queries by interpreting your natural language questions, and the specific data analytics related to it, and then turning it into an appropriate database query.

To configure your data source connection on Datalang, you only need to know your data source connection string.

Any non-technical user who needs to fetch data from a database can benefit from using Datalang. This includes business professionals, data analysts, researchers, marketers, and many more.

No, you do not have to understand SQL to use Datalang. Datalang is designed to interpret your natural language queries and return data insights without requiring any technical knowledge from the user.

Pros and Cons

Pros

  • Data queries in plain language
  • No technical knowledge required
  • GPT-3 for natural answers
  • Three-step process
  • Encrypted connection credentials
  • API for data and questions
  • Simplified data insights
  • User-friendly interface
  • Flexible question capability
  • Integrates with other tools
  • Subscription for product updates
  • Securely handles user information
  • Easy setup for data source
  • Ability to name data sources
  • Privacy-focused
  • User-friendly login and signup
  • Blog for additional resources
  • Available demo

Cons

  • Requires data source configuration
  • Reliant on GPT-3 accuracy
  • No off-the-shelf query templates
  • No multilingual support mentioned
  • Questioning flexibility not defined
  • No indexing for quick search
  • Doesn't support real-time interrogation
  • Lacks user-defined reporting output
  • Doesn't mention non-relational databases
  • No visualization tools included

Reviews

You must be logged in to submit a review.

No reviews yet. Be the first to review!