Practice SQL on real business datasets — with AI feedback that evaluates production readiness, not just correctness. Most platforms teach you syntax. Queryflo trains you to think like a domain expert.
| cohort_month | period_number | retention_rate |
|---|---|---|
| 2024-01-01 | 3 | 34.2 |
| 2024-02-01 | 3 | 31.8 |
| 2024-03-01 | 3 | 36.5 |
FAANG data interviews don't test whether you can write a JOIN — they test whether you can turn messy business data into a decision. Traditional SQL courses miss this completely.
Generic SQL tutorials use toy databases with no business context
You can write a JOIN but can't explain what the metric means
No feedback on whether your query is production-ready or just "correct"
FAANG interviewers want SQL + business judgment — most prep only teaches syntax
No structured way to learn HEART, AARRR, and A/B testing alongside SQL
Every challenge in Queryflo is built around a real business scenario. You don't just get "correct" — you get AI feedback on your SQL governance, a data narrative you could present to a VP, and a deeper understanding of the business metric you just computed.
Try it nowChallenges span 7 domains, each modelled on how real companies store their data. Every schema covers Beginner, Intermediate, and FAANG-level Advanced difficulty.
SELECT, WHERE, GROUP BY, JOINs, aggregations
CTEs, subqueries, date functions, complex joins
Window functions, cohort analysis, LTV:CAC, Rule of 40
Choose from 100 challenges across 7 domains and 3 difficulty levels. Filter by domain or difficulty.
VS Code-quality Monaco editor with SQL syntax highlighting. Use the schema panel to understand the data model.
Your result columns are checked automatically. The system knows if you're right — no manual comparison needed.
4 AI tutors analyze your query: explain it, review governance, summarize the insights, and answer schema questions.
Built on Claude (Anthropic) with responsible AI governance. Every AI feature is transparent, explainable, and designed to build your understanding — not replace it.
Streams a structured breakdown of the correct approach — what SQL concepts were used, why they work, and what the business metric means in context.
Auto-runs after every correct query. Checks for SELECT *, missing LIMITs, implicit joins, NULL handling gaps, and non-SARGable predicates.
Turns your query results into a CEO-level narrative — key findings, trend identification, and a business recommendation. The skill interviewers actually test.
Chat with an AI that knows your challenge's schema. Ask 'How do I join these tables?' or 'Which column stores churn date?' and get schema-aware answers.
Paste a schema, ask in plain English, get SQL. Then run the 8-step AI Judge for Accuracy, Efficiency, and Readability scores out of 10.
Describe any business scenario. Get a full practice dataset with CREATE TABLE, INSERT statements, and example queries — generated instantly.
Authentic business schemas — growth analytics, SaaS metrics, marketing funnels, product events, and FP&A finance. The same data models used at FAANG companies.
Four AI assistants built into every challenge: Answer Explanation, Code Reviewer (SQL governance), Exec Summary (data storytelling), and Schema Explorer (Ask the DB).
Paste your schema, ask in plain English, get production-ready SQL — then run the 8-step AI Judge review: Accuracy, Efficiency, and Readability scored out of 10.
Describe any business scenario and generate a complete practice dataset — CREATE TABLE, INSERTs, and 3 example queries — ready to run immediately.
44 topics categorized as Beginner, Intermediate, and Advanced — from SQL SELECT to Window Functions — all linked to the challenges that use them.
Deep-dive reference frameworks: HEART (UX quality), AARRR (user lifecycle), Marketing Acquisition, and Experimentation & A/B Testing.
"Finally, SQL practice that feels like real work. The cohort analysis challenges are exactly what I got asked at my Meta loop."
"The AI Code Reviewer caught three governance issues in my query I wouldn't have noticed. This is how SQL should be taught."
"HEART framework + AARRR in the same platform as SQL challenges? This is the only prep tool I needed for my Google PM data round."
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100 challenges. 4 AI tutors. Real business schemas. No credit card required.
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