DataInterview vs DataLemur: Quick Comparison
| Feature | DataInterview | DataLemur |
|---|---|---|
| Focus | Full interview prep across data, AI, and ML roles | SQL interview practice |
| Best for | Multi-round interview loops (SQL + ML + stats + product + behavioral + system design) | Targeted SQL screen prep at tech companies |
| Content type | 4,000+ non-coding questions, 1,000+ Python coding problems, SQL Pad, 11+ video courses (400+ lessons), 5 real-world projects | Curated SQL question bank with solution write-ups |
| Roles covered | 14 pathways: DS, DA, DE, MLE, AI Engineer, Quant, Analytics Engineer, and more | Data Analyst, Product Analyst, Analytics Engineer, DS (SQL screens) |
| Company-specific prep | 50+ company guides with round-by-round breakdowns, comp benchmarks, and reported questions | Company-tagged SQL problems (Meta, Amazon, etc.) |
| Live support | 6-week bootcamps, 1-on-1 coaching, resume review, 1,200+ member Slack community | Primarily self-serve SQL practice; coaching and community offerings not clearly advertised on public pages |
| Pricing | Paid platform (courses, coaching, bootcamps priced separately) | Free tier with a subset of problems; paid Pro plan for full access |
| Standout feature | Guided support options (coaching, bootcamps) paired with broad topic coverage across all interview rounds | Curated, interview-realistic SQL practice with high signal-to-noise ratio and strong brand credibility |
Here's the full breakdown.
What is DataInterview?
DataInterview is an interview prep platform covering 14 data, AI, and machine learning role pathways, with practice questions, video courses, coding environments, company guides, and live coaching under one roof. It's positioned for candidates preparing across multiple interview stages (SQL, ML, product sense, behavioral, system design) who'd rather use one platform instead of cobbling together several.
What is DataLemur?
DataLemur is a SQL-focused practice platform built around curated, interview-realistic problems tagged by company and topic. It's associated with Nick Singh (co-author of Ace the Data Science Interview) and is often described as having a high signal-to-noise ratio, with questions that resemble the SQL phone-screen style prompts you'd see at companies like Meta and Amazon. If your goal is focused SQL practice, DataLemur is designed for exactly that.
How They Compare
SQL Practice: Curated Set vs. Full Practice Environment
DataLemur offers a curated set of SQL problems that aim to reflect what actually comes up in phone screens at companies like Meta and Amazon. The company tagging is genuinely useful, and the signal-to-noise ratio is high. You can start drilling within seconds of hitting the site.
DataInterview's SQL Pad is a different animal: a full interactive SQL environment backed by 4,000+ filterable questions spanning hands-on problems and SQL theory. The larger pool lets you build custom practice sets by difficulty, company, and topic. It also pairs with a 28+ lesson SQL course for candidates who need to build foundations before drilling.
If you're close to an interview and already comfortable with joins, window functions, and CTEs, DataLemur's lean curation gets you to reps faster. If you need to learn or relearn concepts first, practicing without a teaching layer just reinforces bad habits.
Scope Beyond SQL
Most data science interview loops at top companies aren't just SQL. You'll face rounds on statistics, ML fundamentals, product sense, behavioral questions, and sometimes system design.
DataLemur is primarily SQL-focused; non-SQL coverage isn't prominent from its public materials. That's fine if SQL is your only gap. But candidates targeting ML, Quant, or AI Engineer roles will likely need additional resources for those other rounds.
DataInterview offers structured courses and Python practice beyond SQL, aimed at full-loop prep. That breadth is the single biggest structural difference between the two platforms. If you genuinely only need SQL reps, though, that breadth is irrelevant to you.
Company-Specific Prep
DataLemur tags problems by company, letting you pull up reported SQL questions from Amazon or Google and drill them in sequence. For targeted SQL screen prep, that's efficient and well-executed.
DataInterview goes a layer deeper with 50+ company guides that break down every round in the loop, not just SQL. The Meta Data Scientist guide, for example, covers product sense, technical screens, behavioral expectations, and compensation benchmarks.
For pure SQL-screen prep at a specific company, DataLemur's tagging is probably sufficient and faster to navigate. But if you want to understand what the full onsite looks like, company tags on SQL problems won't get you there.
Learning Resources vs. Pure Practice
DataLemur emphasizes SQL practice with solution write-ups. It doesn't position itself as a course-first platform, and that's a deliberate design choice.
DataInterview adds structured learning, real-world projects, and recorded mock interviews on top of practice. For career switchers or candidates with gaps in statistics and experimentation, that structure matters. You can't drill your way to understanding A/B test design if you've never learned the fundamentals.
For experienced analysts who already have strong foundations and just need reps, DataLemur's lean approach is a feature, not a bug. Not everyone needs courses. Recognizing that is part of choosing the right tool.
Human Support: Coaching, Bootcamps, Community
DataLemur appears to be a self-serve SQL practice tool. Coaching, bootcamps, and community offerings aren't clearly advertised on its public pages.
DataInterview operates in a different category entirely, with 6-week bootcamps, 1-on-1 coaching for mock interviews and offer negotiation, resume review, and a 1,200+ member Slack community. That comes at a higher price point.
If you're self-motivated and already know your weak spots, paying for coaching is overkill. But if you're unsure why you keep getting rejected after onsites, or you need someone to pressure-test your system design answers, self-serve practice alone won't surface those blind spots.
Who Should Use DataLemur?
If you're an experienced analyst or data scientist who already has ML, statistics, and behavioral prep covered and just needs focused SQL reps before a phone screen, DataLemur is a practical option. It's often cited as closely matching the style of real SQL screens at larger tech companies, and the experience is centered on getting you into practice quickly. It tends to align well with SQL-heavy analytics roles (Data Analyst, Product Analyst, Analytics Engineer) where SQL is the primary technical gate.
Who Should Use DataInterview?
Candidates facing multi-round interview loops that go beyond SQL (think ML, product sense, behavioral, system design) benefit from having those topics under one roof rather than combining multiple resources. Career switchers who need structured courses before jumping into practice will find that progression built in.
If you're targeting roles where SQL is just one slice of the process (MLE, Quant, AI Engineer, Data Engineer), a SQL-only tool won't cover what's ahead. And if you want human feedback through coaching or a bootcamp cohort, most self-serve SQL practice tools simply don't offer that.
Can You Use Both?
Yes, and many candidates do. DataLemur handles focused SQL reps with questions designed to feel interview-realistic. DataInterview covers non-SQL areas you might still need, like ML, product sense, behavioral, and system design. They focus on different parts of the prep process, so using both can reduce duplication if your interview loop goes beyond a SQL screen.
Bottom Line
DataLemur is a sharp, well-curated SQL drill tool. If your upcoming interview is a single SQL screen and you already have the rest of your prep sorted, it might be all you need. For multi-round loops that go beyond SQL into ML, product sense, behavioral, and system design, DataInterview is built for that broader prep, with optional coursework and coaching if you want them.
