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Query FastConversational AI for querying databases and generating instant dashboards

4.8 (4)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated June 2026

Overview

Queryfast is a conversational AI tool for querying databases and generating instant dashboards. It enables data-driven teams to intuitively query their data by chatting and visualize it beautifully. The tool allows users to query their data directly and securely from their data source, supporting various databases such as Postgres, Snowflake, and BigQuery. Creating data queries with Queryfast is straightforward, thanks to its state-of-the-art AI chat that allows users to query data in natural language. Users can save queries and share them with their team, and also create interactive dashboards with a drag-and-drop interface. Queryfast aims to make business intelligence accessible, intuitive, and affordable, empowering experts to focus on high-impact tasks while the tool handles repetitive data queries. The platform is built with security and safety in mind, using the latest encryption and security practices to ensure user data remains secure.

Key features

  • Natural language querying of databases
  • Auto-generated charts and dashboards
  • Conversational follow-up questions
  • Connections to multiple data sources
  • Shareable insights and reports

Pricing

Model
Free
Rating
4.8 / 5 (4)

Use cases

Self-Service Analytics for Business Teams

Non-technical team members can ask plain English questions about company data and receive instant answers without waiting on analysts or learning SQL.

Rapid Dashboard Creation

Generate charts and dashboards automatically from conversational prompts, eliminating manual report building for recurring or ad-hoc reporting needs.

Accelerated Data Exploration for Analysts

Data professionals can speed up exploratory analysis by using natural language to quickly surface insights before diving into deeper custom SQL work.

Shareable Insights Across Teams

Create and distribute conversational query results and visualizations to stakeholders, making data-driven decisions more accessible across the organization.

Pros & Cons

Pros

  • No SQL knowledge required to explore data
  • Generates dashboards and visualizations automatically
  • Speeds up ad-hoc analysis for non-technical users
  • Conversational interface lowers the learning curve

Cons

  • Accuracy depends on data structure and schema quality
  • May struggle with highly complex or ambiguous queries
  • Limited control compared to writing custom SQL

Reviews

4.8

Average from 4 ratings.

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G

George Papadakis

Feb 25, 2026

Does the job

Pretty happy overall. Connections to multiple data sources just works and no SQL knowledge required to explore data. Accuracy depends on data structure and schema quality can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

L

Linda Petersen

Feb 23, 2026

Solid for our team

We rolled this out across the team last quarter and conversational interface lowers the learning curve. Connections to multiple data sources fits neatly into how we already work, and natural language querying of databases removed a step we used to do by hand. Limited control compared to writing custom SQL, which is the main caveat, but it has held up under daily use.

H

Hiroshi Tanaka

Dec 16, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is natural language querying of databases — handled better than most — and no SQL knowledge required to explore data. Worth the time if this is your use case.

T

Tomáš Novák

Jul 15, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on natural language querying of databases, and generates dashboards and visualizations automatically caught me off guard. still, I'd recommend giving it a real trial.

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