Raw Query vs ChatGQL

Explore the showdown between Raw Query vs ChatGQL and find out which AI SQL tool wins. We analyze upvotes, features, reviews, pricing, alternatives, and more.

In a face-off between Raw Query and ChatGQL, which one takes the crown?

When we contrast Raw Query with ChatGQL, both of which are exceptional AI-operated sql tools, and place them side by side, we can spot several crucial similarities and divergences. There's no clear winner in terms of upvotes, as both tools have received the same number. Since other aitools.fyi users could decide the winner, the ball is in your court now to cast your vote and help us determine the winner.

You don't agree with the result? Cast your vote to help us decide!

Raw Query

Raw Query

What is Raw Query?

Raw Query lets you interact with your database using natural language, making data management feel like chatting with a teammate. It supports common databases like Postgres, MySQL, and MariaDB, allowing you to query, add, or update data without writing SQL. This tool is designed for developers and business intelligence professionals who want to save time by avoiding building internal tools or learning complex software. You just provide your database connection string, and Raw Query handles the rest, including exporting data as CSV files. It works on mobile devices, so you can manage your data anywhere. Security is a priority; your data is never stored on their servers, and connection strings are hashed to protect your databases. Plans range from free for solo users to team options with unlimited seats and priority support. Postgres users get full insert and update capabilities, while MySQL and MariaDB users can query data. Raw Query aims to simplify database interaction by turning complex queries into simple conversations.

ChatGQL

ChatGQL

What is ChatGQL?

ChatGQL is an innovative AI tool designed to facilitate seamless interactions with any GraphQL API using natural language. Users simply input the GraphQL schema, and ChatGQL is primed to address any queries they might have.

This platform not only simplifies the process of querying GraphQL APIs but also offers instantaneous generation of schema and code. Developed with passion by Hashnode, ChatGQL is a testament to the advancements in AI and its potential in bridging the gap between complex technical processes and user-friendly interfaces.

ChatGQL remains a free tool, making it accessible to a wide range of users.

Raw Query Upvotes

6

ChatGQL Upvotes

6

Raw Query Top Features

  • 💬 Chat with your database using plain English to get answers fast

  • ➕ Add new data easily with confirmation prompts to avoid mistakes

  • ✏️ Update existing records quickly without writing SQL commands

  • 📊 Export query results as CSV files for easy reporting

  • 📱 Access and manage your data securely from any mobile device

ChatGQL Top Features

  • Natural Language Interaction with GraphQL API: ChatGQL allows users to communicate with any GraphQL API using simple, everyday language. This eliminates the need for intricate query structures, making the process more intuitive and user-friendly.

  • Instant Schema and Code Generation: Upon entering the GraphQL schema, ChatGQL is equipped to instantly produce the corresponding schema and code. This feature accelerates development and reduces manual coding efforts.

  • "Surprise Me" Exploration Option: For users looking to explore the platform's capabilities in a fun and spontaneous way, ChatGQL offers the "Surprise me" button. This feature provides a unique interaction experience, showcasing the versatility of the AI tool.

Raw Query Category

    SQL

ChatGQL Category

    SQL

Raw Query Pricing Type

    Freemium

ChatGQL Pricing Type

    Free

Raw Query Technologies Used

GPT-3
Postgres
MySQL
MariaDB

ChatGQL Technologies Used

Raw Query Tags

Natural Language Interaction
Database Management
AI-Powered Query
Postgres
MySQL
MariaDB
Time-Saving Tool
Business Intelligence
Secure Database Connection
Mobile Access

ChatGQL Tags

GraphQL
Natural Language Processing
AI Tool
Code Generation
User-Friendly Interface
By Rishit