Which databases does Raw Query support?

Raw Query supports Postgres, MySQL, and MariaDB. Only Postgres allows inserting and updating data, while MySQL and MariaDB support selecting data only.

Is Raw Query secure to use with my database?

Yes, Raw Query does not store your actual data and only presents it to you. Your connection string is stored as a hashed value to ensure your database remains secure even in case of a data leak.

Raw Query Review – Cost, Use Cases & Alternatives [2026]

AIChief Verdict

AIChief finds Raw Query impressively democratizes database interaction by enabling natural language chats with your data. Moreover, it eliminates the need for complex SQL skills or developer intervention, saving valuable time. The platform’s straightforward setup—just a connection string—makes it accessible for solo founders and teams alike. In addition, its tiered pricing accommodates various business sizes without overwhelming users. The ability to insert and update data directly within Postgres is a notable advantage, though other databases currently only support data retrieval. From AIChief’s perspective, Raw Query is a smart, secure, and efficient tool that truly puts database control in your hands.

Reviewed by AIChief Editorial Team

Manually verified under AIChief's editorial standards for accuracy, proper categorization, and brand safety.Learn about our review process ->

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What is Raw Query?

Raw Query is an AI-powered tool designed to let users interact with their databases through natural language chat, eliminating the need to write SQL queries manually. Built to save time and simplify data management, it supports databases like Postgres, MySQL, and MariaDB, allowing users to query, add, and update data effortlessly. Developed to serve both developers and business intelligence professionals, Raw Query enables quick access to data insights without complex software or dashboards. Its core capabilities include natural language querying, data insertion, updates, and exporting results as CSV files. The tool fits workflows where users want to communicate with their data as easily as chatting with a teammate, making it ideal for solo founders, small teams, and larger organizations seeking efficient database interaction.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

Accurate, clear, and actionable

Interface

Intuitive chat-based UI

AI Technology

LLMNLP

Purpose of Tool

To enable natural language interaction with databases for querying and managing data.

Compatibility

Supports Postgres, MySQL, and MariaDB with mobile and desktop access.

Pricing

Tiered subscription plans with a free option and scalable paid tiers.

Features

Features with the highest value for users are highlighted here.

Natural language querying

Data insertion and updates

Support for Postgres, MySQL, MariaDB

Mobile device compatibility

Connection string based setup

CSV data export

Role-based access control

Priority support options

How It Works

Connect your database

Paste your database connection string to securely link Raw Query to your data.

Start chatting

Use natural language to ask questions or request data updates through the chat interface.

Review and confirm

The AI will generate queries and ask for your confirmation before making changes.

Export or update data

Retrieve query results or update your database directly, with options to export as CSV.

Who Is It For?

Solo founders

Small business teams

Developers

Business intelligence analysts

Customer support teams

Product managers

Data entry specialists

Remote teams

Startups

Non-technical users

Pricing

Free

$0/monthly

300 successful queries per month
1 seat
2 databases

Starter

$39/monthly

1500 successful queries per month
5 seats
Unlimited databases
Priority support

Popular

Pro

$79/monthly

5000 successful queries per month
10 seats
Unlimited databases
Priority support

Team

$149/monthly

20000 successful queries per month
Unlimited seats
Unlimited databases
Priority support
Role access per database

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Pros & Cons

Pros

Enables database interaction without SQL knowledge.
Quick setup with minimal configuration required.

Cons

Insert and update features limited to Postgres only.
Query success depends on providing sufficient context.

FAQs

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Rating

5.0

Pros

Cons

Quick Raw Query Comparision

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