Interview-prep platforms optimize for the onsite. caseSQL optimizes for the job after it — messy data, a Slack-style brief, and a manager waiting on an answer.
If you’re comparing caseSQL to DataLemur or other interview-prep platforms, here’s the short version. Interview-prep platforms are built for the interview loop — crisp problem statements, clean data, and a verdict. caseSQL is built for the job you get after the interview — vague requirements, dirty data, and stakeholders who don’t know what they want. If you’re two weeks out from an onsite, an interview-prep platform is a great drill partner. If you want the muscle memory that makes your first 90 days on the job not terrifying, keep reading.
caseSQL differs from interview-prep platforms in three ways.
Every caseSQL mission opens with a Slack-style message from your manager, your PM, or a cross-functional partner. You read the ask, decide what the question really is, and write the query. A 5-tier validator grades you the way a manager would — “directionally right but off by a filter” or “this is the number, now explain it” — not just pass/fail. Interview-prep platforms tend to optimize for a crisp problem statement and a single accepted solution.
NULLs. Duplicates. Refunds that arrive after the sale closes. Timestamps in three different timezones. These are the things that eat analysts alive in the first week of a new job, and they’re built into every caseSQL database on purpose. Interview-prep problem sets are usually sanitized so the only variable is your SQL — which makes for a clean evaluation but doesn’t prepare you for the real mess.
caseSQL ships eight 30-mission paths — Marketing, BI, Provider, Finance, Credit Risk & Banking, AML & Fraud, RevOps, and Ecommerce — each set in a distinct simulated company with its own schema, stakeholders, and vocabulary. You don’t grind 300 disconnected questions; you work through a coherent analyst arc. Interview-prep libraries are typically broad and company-tagged (great for “what does that FAANG-adjacent shop ask?”) but the format is question-by-question rather than path-by-path.
“Not a focus” means it isn't what that platform optimizes for — it's not an assertion that the feature is unavailable.
| Feature | caseSQL | Interview prep |
|---|---|---|
| Browser-based SQL editor, no setup | Yes | Yes |
| Slack-style stakeholder briefs on every mission | Yes | Not a focus |
| 5-tier graduated validator (vs pass/fail) | Yes | Not a focus |
| Career-path curriculum (25+ missions per path) | Yes | Not a focus |
| Intentionally messy data (NULLs, dupes, refunds) | Yes | Partial |
| Industry variety (Marketing, BI, Healthcare, Finance) | Yes | Partial |
| Company-tagged interview questions (Stripe, Meta, Amazon) | Partial | Yes |
| Large question bank optimized for interview drills | Partial | Yes |
| Free tier + paid Pro ($14.99/mo or $139/yr) | Yes | Partial |
Not every reader should pick caseSQL. Honest summary:
They solve adjacent problems. DataLemur and similar interview-prep platforms are the better pick if your near-term goal is passing a SQL interview at a specific company. caseSQL is the better pick if your goal is being effective on the job once you start. A lot of people use both — caseSQL for depth and domain fluency, an interview-prep platform for pattern drills closer to onsite.
Yes — the coding interview bank tags questions with the real companies they came from (Stripe, Meta, Amazon, and more). Career-path missions stay narrative (a manager sending a Slack message, not “Amazon SQL #42”) because the point of a path is to simulate the job, not the onsite.
There’s a free tier and a paid Pro tier. Free covers the Starter and Easy missions on every career path plus 12 coding interview questions — enough to learn the fundamentals. Pro ($14.99/month or $139/year) unlocks the Medium, Hard, and Expert missions, the full 40-question coding interview bank, and 71 advanced general interview questions. Cancel anytime.
You query a PostgreSQL database hosted on Supabase — the same stack many data teams use in production. The schemas include dimension and fact tables structured like a real warehouse, with deliberate data-quality issues baked in so you learn to handle them.
Each path has 30 missions (BI has 31). A motivated learner can finish one in 2–4 weeks at a few missions per evening. There’s no timer — the app tracks XP and streaks to keep you on pace, not to rush you.
Pick a career path, read the Slack from your “manager,” and write the query. Free to start.
Prepping for healthcare RCM interviews specifically? Read our Hospital Revenue Cycle interview prep guide.