Query Fast

About Query Fast

Launched Jan 06, 2025

Description

AI-powered analytics made simple — query your database without writing SQL

Query Fast is a lightweight, AI-powered platform that connects directly to your databases and allows you to query data using natural language—no coding or SQL expertise required. Our AI Agent makes querying fast, simple, and accessible for everyone in your organization. Whether you’re a data analyst, business user, or product manager, you can instantly retrieve insights and build dashboards in minutes, not hours. With support for popular databases like PostgreSQL, MySQL, Snowflake, Redshift, Google BigQuery, and MongoDB, Query Fast democratizes data access and empowers teams to make smarter decisions faster.

Query Fast Key Features

AI-powered natural language querying
Supports popular databases (PostgreSQL, MySQL, Snowflake, Redshift, BigQuery, MongoDB)
Save queries for quick access
Fast and simple dashboard creation
No coding or SQL expertise required

Query Fast Use Cases

Quickly retrieve monthly revenue reports from your database without writing SQL
Allow non-data-savvy people to answer their own questions in plain text
Ask product usage questions like “How many active users did we have last week?”
Track customer churn by querying your database in natural language
Build a dashboard to monitor marketing campaign results in minutes

Pros

AI-powered natural language querying eliminates the need for writing SQL, making it accessible for non-technical users.
Supports a wide range of popular databases such as PostgreSQL, MySQL, Snowflake, Redshift, Google BigQuery, and MongoDB.
Enables fast retrieval of insights and building of dashboards in minutes, improving efficiency.
Democratizes data access across organizations, empowering various roles like data analysts, business users, and product managers.
User-friendly interface enhances adoption across team members with diverse technical skills.

Cons

Dependent on the accuracy and flexibility of AI interpretations, which might not handle complex queries as effectively as traditional SQL.
May not fully satisfy the needs of experienced data analysts who require complex custom queries.
Performance might vary depending on the size and complexity of the database connected.
Initial setup for database connectivity might require some technical expertise, depending on the organization's IT infrastructure.
Limited integration with visualization tools might not meet the requirements of advanced data visualization needs.