Does it support CTEs and window functions?

Yes. Common Table Expressions (WITH clauses), recursive CTEs, and window functions (ROW_NUMBER, RANK, LAG, LEAD, OVER/PARTITION BY) are all explained. The tool walks through each CTE in order so you can understand how intermediate result sets flow into the final query.

Will it flag performance issues?

It calls out likely-slow patterns: queries without a WHERE clause on a large table, missing indexes on JOIN keys, SELECT *, cartesian products from missing JOIN conditions, and OR conditions that prevent index use. For a definitive answer, always run EXPLAIN ANALYZE — the tool is a heuristic, not a query planner.

What SQL dialects are supported?

PostgreSQL, MySQL/MariaDB, SQL Server (T-SQL), BigQuery, and SQLite. Dialect-specific syntax (Postgres arrays, BigQuery STRUCTs, SQL Server TOP) is recognized. For Oracle or DB2, the explanation still works but may miss dialect-specific performance tips.

Can it convert English back to SQL?

Not this tool — it only goes SQL to English. For the reverse (natural language to SQL), tools like vanna.ai, defog, or a ChatGPT prompt with your schema are a better fit. Converting a query you already have is a different problem from authoring one from scratch.

SQL to Natural Language

Paste a SQL query — SELECT, CTE, window function, JOIN-heavy reporting query — and get a plain-English walkthrough: one-sentence summary of what the query returns, tables and joins involved, filter and grouping logic, window function behavior, and performance watch-outs (missing index, full table scan, N+1 pattern). Works for PostgreSQL, MySQL, SQL Server, BigQuery, and SQLite syntax. Powered by Amazon Nova Micro on AWS Bedrock.

Paste any SQL query. Get a plain-English explanation of what it returns, which tables it touches, and any performance watch-outs. Free, daily-capped.

Paste SQL0 / 5,000

Plain-English explanation

What the query returns, the tables and joins involved, filter and grouping logic, and any performance watch-outs.

What you get back

• One-sentence summary of what the query returns
• Tables, joins, and relationship breakdown
• Filter (WHERE), grouping, and ordering logic
• Window functions and CTEs explained
• Performance notes (missing indexes, full scans)
• Works for Postgres, MySQL, SQL Server, BigQuery

Next useful step

Test your AI fundamentals next

If this tool is part of your AI or developer workflow, the free CloudYeti diagnostic shows which AWS AI concepts you already know and where you are weak.

Take the AI diagnostic

Frequently Asked Questions

Does it support CTEs and window functions?: Yes. Common Table Expressions (WITH clauses), recursive CTEs, and window functions (ROW_NUMBER, RANK, LAG, LEAD, OVER/PARTITION BY) are all explained. The tool walks through each CTE in order so you can understand how intermediate result sets flow into the final query.
Will it flag performance issues?: It calls out likely-slow patterns: queries without a WHERE clause on a large table, missing indexes on JOIN keys, SELECT *, cartesian products from missing JOIN conditions, and OR conditions that prevent index use. For a definitive answer, always run <code>EXPLAIN ANALYZE</code> — the tool is a heuristic, not a query planner.
What SQL dialects are supported?: PostgreSQL, MySQL/MariaDB, SQL Server (T-SQL), BigQuery, and SQLite. Dialect-specific syntax (Postgres arrays, BigQuery STRUCTs, SQL Server TOP) is recognized. For Oracle or DB2, the explanation still works but may miss dialect-specific performance tips.
Can it convert English back to SQL?: Not this tool — it only goes SQL to English. For the reverse (natural language to SQL), tools like vanna.ai, defog, or a ChatGPT prompt with your schema are a better fit. Converting a query you already have is a different problem from authoring one from scratch.

Related Tools

Improve My Prompt

Paste any LLM prompt and get specific, actionable fixes against 12 best-practice rules from Anthropic, OpenAI, and Google. Free, no login.

CLAUDE.md Reviewer

Paste your existing CLAUDE.md and get specific, numbered suggestions for vague rules, missing commands, repo boundaries, and token waste.

Word & Character Counter

Count words, characters, sentences, and reading time in Markdown. Free online Markdown-aware word counter.

Link Extractor

Extract all URLs and links from Markdown text. Free online Markdown link extractor.

About SQL to Natural Language

Paste any SQL query, get a plain-English explanation of what it returns, the tables it touches, and performance watch-outs. Free, no login. This AI-backed tool sends your input to MarkdownMe's capped Amazon Bedrock endpoint to generate the result. No account is required. MarkdownMe provides free, fast, and reliable Markdown tools for developers, writers, and anyone who works with Markdown.