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Query explanation, optimization hints, and narrative visualization for data teams. Transform complex SQL into clear insights.

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query_analysis.sql 
SELECT u.name, COUNT(o.id) AS order_count
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
WHERE o.created_at > '2024-01-01'
GROUP BY u.id HAVING COUNT(o.id) > 5;

Query Explanation

This query retrieves user names with order statistics, filtering for users with more than 5 orders since January 2024...

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Powerful Features for Data Teams

Everything you need to understand, optimize, and visualize your database queries.

Query Explanation

Get plain-English explanations of complex SQL queries. Understand what each clause does.

Optimization Hints

Receive actionable suggestions to improve query performance. Index recommendations and more.

Narrative Visualization

Transform query results into compelling visual stories with auto-generated charts.

Multi-Database Support

Works with PostgreSQL, MySQL, SQL Server, BigQuery, Snowflake, and more.

Team Collaboration

Share query analyses with your team. Comment, discuss, and iterate together.

Enterprise Security

SOC 2 compliant with on-premise deployment options for your security needs.

How It Works

Three simple steps to transform your query workflow.

1

Paste Your Query

Simply paste your SQL query into QueryLens. We support all major SQL dialects.

2

Get Instant Analysis

Our AI analyzes your query structure, identifies bottlenecks, and generates explanations.

3

Optimize & Visualize

Apply optimization suggestions and create beautiful visualizations of your results.

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