SQL Lineage Analyzer
Understand any SQL query in minutes — not hours
SQLLineage-AI turns complex SQL into interactive data lineage diagrams with AI-powered explanations at every level. Table lineage. Column lineage. PII detection. Block-by-block summaries. Batch-process entire SQL file libraries at once — all in your browser with no setup, no Python, no expertise required.
SQL Analysis Playground
Experience instant SQL lineage analysis with AI-powered insights
See What a Lineage Report Looks Like
Download a real interactive HTML lineage diagram generated by SQLLineage-AI — view it offline in your browser, share it with your team, or use it as a reference before running your own queries.
Works With Every SQL Dialect
SQLLineage-AI understands all major SQL dialects and cloud data warehouse languages. No configuration needed — just paste and analyze.
How It Works
From raw SQL to full lineage understanding in four steps
Input Your SQL
Three ways to start: type or paste SQL directly into the live editor, upload a .sql file for single-file live analysis, or switch to Bulk Mode and upload multiple .sql files for batch processing — all dialects, any complexity.
AI Analyzes Every Block
Google Vertex AI breaks your query into logical blocks, identifies all tables, columns, transformations, filters, and PII patterns.
Interactive Lineage Generated
An interactive diagram maps your data flow — table to table, column to column. Click any node to focus and navigate through complex dependencies.
Understand, Download & Share
Read block-by-block AI summaries and the full query explanation. Download the lineage diagram and analysis report to share with your team.
Why Engineers Choose SQLLineage-AI
Most lineage tools fall short. Here's what makes the difference.
Other Tools in Market
AI-Powered SQL Analyzer
Many tools only support one SQL dialect
Useless across your diverse data stack
Truly dialect-agnostic
Works with 15+ SQL dialects from MySQL to Snowflake
Break silently on complex queries
CTEs, JOINs, and subqueries cause failures
Built for production-grade SQL
Handles complex multi-block ETL scripts reliably
Require Python, CLI, or local installation
High barrier to entry, setup overhead
100% browser-based
Paste SQL, analyze instantly. Zero setup or dependencies
Enterprise pricing model
Locks out individuals and small teams
Always free to start
No credit card, £5/month Pro tier
Show diagrams but no AI explanation
You must interpret the lineage yourself
AI explains everything
Block summaries, PII detection, downloadable reports
Powered By
Choose Your Plan
Start free — Pro uses weighted credits so you only pay for what you actually use
Simple queries cost fewer credits · Complex ETL scripts cost more · 100 credits reset every 30 days
Anonymous
No sign-up required
Registered
Free forever — no card needed
Pro
For teams & power users
Small SQL ~1 pt · Complex ETL ~3–7 pts
Points reset each billing cycle
Everything You Need to Understand SQL
Six powerful capabilities — built specifically for data professionals
Table & Column Lineage
Visualize data flow at both table level and granular column level in a single interactive diagram. Click any node to explore upstream and downstream dependencies.
Block-by-Block AI Summaries
Every SQL block gets its own plain-English explanation, plus an overall query summary. Understand what each step does — instantly, without reading a single line of SQL.
PII Column Detection
Automatically flags columns likely containing Personally Identifiable Information — helping your team stay GDPR and HIPAA compliant without hours of manual review.
Download & Share Reports
Export the interactive lineage diagram and the full AI analysis as a self-contained HTML report — share it with project teams, stakeholders, or auditors in seconds.
Bulk SQL Batch Mode
Upload up to 20 .sql files at once — each file gets its own complete lineage diagram, AI summary, and downloadable HTML report, processed in parallel via the Gemini Batch API.
Weighted Credit Pricing
Pro plans use smart per-analysis credits based on actual AI token consumption — a simple 10-line query costs ~1 credit, a 500-line ETL script costs more. 100 credits renew every 30 days for £5.
Built for Data Professionals
Whether you build pipelines, analyze data, or train models — SQLLineage-AI saves you hours every week
Data Engineers
Trace upstream table dependencies, map ETL pipeline stages, and catch breaking changes before they reach production. Analyze migration SQL before moving to Snowflake, BigQuery, or Redshift.
Data Analysts
Stop spending hours reverse-engineering SQL written by others. Understand any query in minutes — what tables it reads, what it computes, and exactly what lands in each output column.
Data Scientists
Validate that feature engineering SQL is doing what you think. Trace column transformations end-to-end and verify exactly what data feeds your models before training.
We'd Love Your Feedback
Help us improve SQLLineage-AI. Share your experience and suggestions.
Frequently Asked Questions
Everything you need to know about SQL lineage and how SQLLineage-AI works
What is SQL lineage? +
SQL lineage traces the journey of data through your SQL — identifying all source tables, target tables, column-to-column mappings, transformations, joins, and filters. SQLLineage-AI generates this as an interactive visual diagram instantly, saving hours of manual analysis.
What is column-level lineage and why does it matter? +
Column-level lineage goes deeper than table-level lineage. It shows exactly which source columns feed into which output columns, and how they are transformed along the way (joins, aggregations, expressions). It is essential for debugging data quality issues, documenting transformations, and satisfying GDPR or SOX audit requirements.
What is PII detection in SQL analysis? +
SQLLineage-AI automatically scans your column names and transformations to flag columns that likely contain Personally Identifiable Information — names, emails, phone numbers, national IDs, and similar. This saves analysts hours of manual compliance review and helps teams meet GDPR, HIPAA, and internal governance requirements.
How is this different from other SQL lineage tools? +
Most lineage tools are dialect-specific, break on complex queries, require Python setup or local installation, or cost thousands per year. SQLLineage-AI is dialect-agnostic (15+ dialects), handles production-grade complex SQL, works entirely in your browser with no setup, and starts free. It also uniquely combines table lineage, column lineage, PII detection, and AI explanations in one tool.
Can it handle large, complex SQL queries? +
Yes. SQLLineage-AI is built for production SQL — multi-stage CTEs, deeply nested subqueries, multi-table JOINs, UNION chains, and full ETL scripts with hundreds of lines. It handles complex queries where simpler tools give up or produce incorrect results.
Which SQL dialects are supported? +
All major SQL dialects: PostgreSQL, MySQL, Microsoft SQL Server, Oracle, SQLite, Google BigQuery, Snowflake, Amazon Redshift, Azure Synapse Analytics, Apache Hive, Apache Spark SQL, Databricks SQL, Teradata, MariaDB, and IBM Db2.
Is SQLLineage-AI free to use? +
Yes — you can start immediately without signing up. Anonymous users get 3 free analyses instantly. Registered (free, no card) users get 5 free analyses plus 1 free Bulk analysis trial, with history and downloads. Pro subscribers get 100 weighted credits per 30-day cycle for £5/month — credits are deducted based on actual AI token usage, so simple queries cost less and complex ETL scripts cost proportionally more.
How does weighted credit pricing work? +
Pro plan users have a credit balance (100 credits per 30-day cycle). Each analysis deducts credits proportional to its complexity — based on the actual number of AI tokens consumed by Gemini. A simple 10–20 line query typically costs about 1 credit. A 200–500 line ETL script with multiple CTEs might cost 3–5 credits. You always see your remaining credit balance in the header. Credits reset at the start of each billing cycle — unused credits do not roll over.
What is Bulk SQL Batch Mode? +
Bulk Mode lets you upload up to 20 .sql or .txt files at once from your workspace sidebar. Each file is analyzed independently and gets its own complete lineage diagram, AI summary, column lineage table, and a downloadable HTML report. Large files with many SQL blocks are automatically routed to the Gemini Batch API and may take 15–30 minutes; smaller files process in the normal online path within seconds. Registered (free) users get 1 trial Bulk analysis; Pro subscribers have unlimited Bulk analyses.
How is my SQL data handled? Is it secure? +
Your SQL is processed over an encrypted HTTPS connection using Google Vertex AI. Raw SQL queries are not permanently stored on our servers. We run on Google Cloud infrastructure — the same stack trusted by enterprise customers globally. See our Privacy Policy for full details.
How long does analysis take? +
Single SQL analysis usually completes in under 30 seconds — often much faster for smaller queries. Bulk Mode with small files finishes in a similar timeframe. Very large SQL files routed through the Gemini Batch API may take 15–30 minutes, but you can leave the page and check back — the results are saved to your session. Either way, it beats hours of manual analysis.
Can I download and share the lineage diagram and report? +
Yes. Free registered users and Pro users can download the interactive lineage diagram and the full AI analysis report as a self-contained HTML file — open it offline in any browser, share with project teams, stakeholders, or auditors. In Bulk Mode, each SQL file gets its own individual downloadable report. Anonymous users can view results in-browser but downloads require a free account.