Comparison

Get Good vs Data_Engineering

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

Get Good

Features
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Get Good: HTTP & APIs is a mobile learning app for building real fluency with HTTP and modern API request patterns. Instead of only reading theory, you practice the patterns directly through guided lessons, drills, flash cards, study guides, and short scenario-based missions. What you’ll learn: HTTP methods like GET, POST, PUT, PATCH, and DELETE Resource paths, IDs, nested routes, and query parameters Filtering, paging, sorting, limits, and response shaping Common headers like Accept, Content-Type, Authorization, and If-Match Status codes like 200 OK, 201 Created, 204 No Content, and 404 Not Found The relationship between a request and the response it produces How it works: Study guides explain key concepts in plain language Flash cards help reinforce methods, headers, status meanings, and API patterns Lessons teach one concept at a time with beginner, intermediate, and expert drills Missions combine concepts into more realistic API request scenarios Progress tracking helps you keep building consistency over time Get Good: HTTP & APIs is designed to make fundamentals stick. The app keeps early content approachable, then gradually increases difficulty as learners move from basic request syntax to more complete API workflows. This app is best for learners who want to understand HTTP and REST-style API fundamentals more clearly, whether they are starting from scratch, reviewing for class, or strengthening practical development knowledge.

About

Data_Engineering

Features
Read full description

Become a data engineer—starting exactly where you are. Data_Engineering is a complete interactive learning environment for iPhone, iPad, and Mac. Begin with basic arithmetic, first Python, files, SQL, and databases. Progress into production pipelines, data modeling, warehouses, Airflow, dbt, Spark, Kafka, cloud platforms, quality, governance, observability, and principal-level architecture. LEARN BY DOING • 40 structured courses from beginner to advanced • 400 substantive interactive lessons • 140 editable, syntax-highlighted code labs • 100 quizzes with validation and explanations • 80 architecture decisions based on real trade-offs • 80 guided concept exercises • Progressive hints that help without giving the answer away BUILD A PORTFOLIO Complete 40 practical data engineering projects: 12 Beginner, 14 Intermediate, and 14 Advanced. Every build includes an editable SQL, Python, YAML, or architecture workspace, four milestones, local checks, and a concrete outcome you can explain in an interview. YOUR PRIVATE DATA ENGINEERING TUTOR Ask a question from any lesson or project. Tutor Core can begin with basic arithmetic, define every new term, and work toward deep production trade-offs. Offline Core is included and never sends questions anywhere. Compatible devices can add private Apple on-device generation. External providers are always optional. WATCH YOUR DATA PLATFORM TAKE SHAPE Every completed lesson, course, and project milestone advances a living data-platform construction scene—from its first frame through ingestion, transformations, integration, and operational control planes. DESIGNED FOR SERIOUS PROGRESS Earn XP, build streaks, bookmark material, track role readiness, choose daily goals, switch between light and dark interfaces, and move naturally among iPhone, iPad, and Mac. SUBSCRIPTION Data_Engineering Pro includes a 14-day free introductory trial for eligible new subscribers, then renews monthly at the price shown in the app. Payment is charged to your Apple Account after confirmation. The subscription automatically renews unless cancelled at least 24 hours before the end of the current period. Manage or cancel in Apple Account subscription settings. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://github.com/lukekevinmclaughlin-oss/Data_Engineering/blob/main/PRIVACY.md

Screenshots

Get Good4 screens
Data_Engineering4 screens

Verdict

The call

The clearest difference is price: Data_Engineering at Free against Get Good's $0.99. Get Good's advantage is in-app purchases (none vs 1) and iOS requirement (15.1 vs 17.0). On ads and device support there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Data_Engineering is free to download; Get Good costs $0.99 up front. Data_Engineering sells 1 in-app purchase, starting at $1.99 per month. Get Good asks for nothing beyond the download.

Scorecard3 real differences · 3 level
Get Good versus Data_Engineering: the parameters behind the verdict, then further details
ParameterGet GoodData_Engineering
Price$0.99Free — better
Update frequencyEvery 4 days—
AdsNoNo
In-app purchasesNo — betterYes
DevicesiPhone, iPodiPhone, iPad, Mac — better
Requires iOS15.1 — better17.0
Further details — not scored
Size27 MB5 MB
Age rating4+4+
DeveloperJames SullivanLuke Mclaughlin

In-app purchases

None

Get Good

No in-app purchases

1 purchases

Data_Engineering

Subscriptions1
  • Data_Engineering Pro14 Days trial$1.991 Month

Questions

Is Get Good free?
Get Good costs $0.99, with no in-app purchases.
Is Data_Engineering free?
Data_Engineering is free to download, with in-app purchases available.
Do Get Good or Data_Engineering have ads?
Neither Get Good nor Data_Engineering shows ads.

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