DataVidhya vs ProductPath
Price, ratings, monetisation and update history for both apps, side by side β with what reviewers say about each.
DataVidhya
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DataVidhya is your ultimate platform to become a job-ready Data Engineer. Whether you're just starting your data journey or preparing for top tech interviews, this app equips you with everythingβfrom foundational courses to advanced real-world projects, curated learning paths, and a powerful coding playground. What Youβll Get: 6 Complete Data Engineering Courses Python, SQL, Data Warehousing (Snowflake), Apache Spark (Databricks), Apache Airflow, and Apache Kafka β tailored for real-world use cases. 16+ End-to-End Projects Build full-stack data pipelines using AWS, Spark, dbt, Kafka, and more. Code+ Playground Practice coding in PySpark, SQL, Python, Scala & dbt. Solve real-world challenges and get instant feedback. Interview Prep Suite Access mock interviews, data modeling playgrounds, a resume evaluator, and problem-solving templates. Curated Learning Paths Structured roadmaps to go from beginner to expert in data engineering. Leaderboards & Progress Tracking Stay motivated with peer benchmarks and achievements. Community Support Get answers, tips, and project feedback from expert mentors and learners like you. Whether you're targeting product-based companies, data-intensive startups, or freelancing as a data engineer, DataVidhya gives you the skills and confidence to crack any role.
ProductPath
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ProductPath is the product management learning app that actually grows with you - from your first "what does a PM do?" through to leading product organisations. Most PM resources leave you stuck: books are passive, courses are generic, bootcamps charge thousands. ProductPath is different. It's a structured, hands-on curriculum in your pocket - 201 lessons across 6 levels, built so you can learn by doing, not just reading. START WHERE YOU ARE New to product? Begin with the fundamentals: what PMs actually do, how to think in problems rather than solutions and how to run your first sprint. Preparing for PM interviews? Jump straight to mock interviews, case study practice and estimation drills. Already experienced? Skip ahead to the content that matters: technical product management (APIs, system design, SQL, ML fundamentals), discovery techniques drawn from Cagan, Torres and Gothelf, or leadership modules on scaling teams, org design and the product operating model. LEARN BY DOING, NOT WATCHING ProductPath is built around practice. Five interactive simulations put you in the seat: β’ Sprint Simulator - run a realistic two-week sprint with real trade-off decisions β’ Prioritisation Battle - defend your feature choices under pressure using RICE, ICE and Kano β’ Discovery Sprint - apply modern discovery techniques to a real product scenario β’ Team Health Check - diagnose team dynamics across five maturity dimensions β’ AI Product Lab - design AI-powered features from problem statement to evaluation criteria Follow-along projects - FitTrack, Meridian, Beacon and Greenhouse - span consumer health, fintech, enterprise SaaS and edtech. Each one builds real artefacts you'd produce on the job: personas, PRDs, roadmaps, API specs, pricing models and go-to-market plans. STRUCTURED CURRICULUM, REAL DEPTH Six levels take you from foundations to mastery: 1. Foundations - the PM role, product thinking, user research, the product lifecycle 2. Working with Teams - agile, roadmapping, prioritisation frameworks, stakeholder management 3. Strategy & Discovery - product strategy, OKRs, metrics, discovery techniques, writing specs 4. Technical PM - APIs, system design, data and SQL, platform thinking, AI/ML, security 5. Leadership & Scaling - product leadership, the operating model, growth, monetisation, product ops 6. Mastery - interview prep, industry specialisations, ethics, building your PM brand Every lesson features rich content blocks with key concepts, pro tips, expandable walkthroughs and real-world examples. This isn't surface-level - Level 4 alone covers REST vs GraphQL, microservices architecture and designing human-in-the-loop AI systems. RETAIN WHAT YOU LEARN Spaced-repetition flashcards use the SM-2 algorithm to surface concepts at scientifically optimal intervals. Create your own custom cards for anything you want to remember. Quizzes after every lesson give you immediate feedback with detailed explanations - not just whether you got it right, but why. STAY MOTIVATED Earn XP for every lesson, quiz, and simulation. Build daily streaks. Unlock badges. Climb the leaderboard. Progress from Intern to CPO as your knowledge deepens. LEARN WITH YOUR EYES OR YOUR EARS Every lesson can be played as audio. Choose your speed from 0.5x to 2x, keep listening with the screen off, and control it from the lock screen. FREE TO START, PRO TO MASTER Three lessons per week are free - enough to explore and commit. Upgrade to Pro for unlimited access, all simulations, follow-along projects, advanced levels, offline mode and streak shields. Pro: $14.99/month or $119.99/year (save 33%). Payment is charged to your Apple ID account at confirmation of purchase. Subscription automatically renews unless cancelled at least 24 hours before the end of the current period. Manage and cancel subscriptions in your Account Settings on the App Store. Privacy Policy: https://tilthapps.com/privacy.html Terms of Service: https://tilthapps.com/terms.html
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Verdict
The clearest difference is iOS requirement: DataVidhya at 15.1 against ProductPath's 17.0. On price, update cadence, ads and in-app purchases there is nothing between them.
Scored on Price Β· Rating Β· Positive reviews Β· Number of ratings Β· Update frequency Β· Ads Β· In-app purchases Β· Monetization Β· Best chart rank Β· Devices Β· Requires iOS
Both are free to download. DataVidhya sells 1 one-off in-app purchase and ProductPath sells 2 in-app purchases, starting at $14.99 per month. Whichever you choose, the download price is not the number that matters.
DataVidhya ships an update every 3 months, ProductPath every 2 months. The most recent releases landed on September 24, 2026 and September 19, 2026 respectively.
| Parameter | DataVidhya | ProductPath |
|---|---|---|
| Price | Free | Free |
| Update frequency | Every 3 months | Every 2 months β better |
| Ads | No | No |
| In-app purchases | Yes | Yes |
| Devices | iPhone, iPod | iPhone, iPad |
| Requires iOS | 15.1 β better | 17.0 |
| Further details β not scored | ||
| Size | 52 MB | 21 MB |
| Age rating | 4+ | 12+ |
| Developer | TagMango Inc | Joshua Rudland-Potter |
In-app purchases
DataVidhya
- Python for Data Engineering$19.99
ProductPath
- Monthly Subscription7 Days trial$14.991 Month
- Annual Subscription7 Days trial$119.991 Year
Questions
Is DataVidhya free?
Is ProductPath free?
Do DataVidhya or ProductPath have ads?
Which is updated more often, DataVidhya or ProductPath?
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