RAW QUERY

What is RAW QUERY?

Raw Query is a tool that uses AI technology to simplify the process of querying, adding, and updating data within a database. It acts as a data assistant, allowing users to interact with their databases using natural language.

RAW QUERY Features:

• AI-powered data assistant: Utilizes advanced AI algorithms to interact with the database using natural language.
• Query data easily: Retrieve information from the database by asking questions in plain English.
• Export data effortlessly: Export data as CSV files without the need for complex software or coding.
• Add new data seamlessly: Insert new data into the database, even without a dedicated form.
• Update data conveniently: Modify existing data with ease, ensuring accuracy and efficiency.
• Saves time and effort: Streamlines database interactions and eliminates the need for complex tools or software.
• Developer-friendly: Avoid creating multiple internal apps by using Raw Query as a comprehensive data assistant.
• Business intelligence support: Communicates with the database in a language you understand, eliminating the need for specialized database knowledge.

RAW QUERY Benefits:

• Direct Database Access: Raw queries provide direct interaction with the database, offering complete control over the SQL statements executed.
• Flexibility and Customization: They allow for highly customized queries that may not be easily achievable through ORM (Object-Relational Mapping) methods.
• Improved Performance: Well-written raw queries can be optimized for performance, avoiding the overhead that sometimes comes with ORM-generated queries.
• Support for Complex Operations: Raw queries can handle complex joins, subqueries, and advanced filtering that may be difficult or impossible with standard query builders.

Use Cases:

• Developers who want to simplify database interactions without the need for building internal tools.
• Business intelligence professionals seeking an intuitive way to query, export, and update data without extensive database knowledge.
• Teams and individuals who need to quickly retrieve, export, or modify data in their databases without navigating complex software.
• Users who want to save time and enhance productivity by streamlining database interactions with natural language commands.