What is DataLang?

Datalang is a powerful tool that allows you to query databases using natural language. It simplifies the process by allowing you to ask questions like you would to a person, and then fetching and translating the answers for you. To get started, you simply need to set up a data source and configure the connection string. Then, you can ask questions such as "how many users?" or "what is the MRR?" and datalang will use GPT-3 to generate a natural language answer.

One of the main features of datalang is its simplicity, as it doesn't require extensive technical knowledge to use. It also ensures the security of your data, encrypting the connection string and credentials and only decrypting them when necessary for data operations. There is also an API available to manage data sources and ask questions.

The tool can handle a wide range of questions, similar to those you would ask a data analyst. It can provide insights on metrics such as the number of users during a specific time frame or common values in a certain field. Additionally, it can be integrated with other tools through its API.

⭐ Key features

DataLang core features and benefits include the following:

✔️ Query databases using natural language.
✔️ Fetch and translate answers.
✔️ Handle a wide range of questions.
✔️ Provide insights on metrics.
✔️ Integrate with other tools.

⚙️ Use cases & applications

✔️ Retrieve information from database using natural language.
✔️ Get insights on common values in a certain field by asking your database.
✔️ Integrate database with other tools through the API like chatbots and other tools.

💰 Pricing plans

DataLang offers a Subscription pricing model.

DataLang pricing packages

Starter plan : $ 19/mo
Pro plan : $ 49/mo
Business plan : $ 399/mo

** Pricing packages are subject to change. Always verify pricing information here

ℹ️ Find more & support

DataLang provides an API that developers can use for programmatic access which makes it easy to integrate it with other tools or within your own applications.

You can also find more information, get support and follow DataLang updates on the following channels: