Comparison

Learn Hadoop & Big Data vs Learn Docker

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

Head to head
About

Learn Hadoop & Big Data

Features
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Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. This brief app provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System. This app has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course. Big data is a collection of large data sets that cannot be processed using traditional computing techniques. It is not a single technique or a tool, rather it has become a complete subject, which involves various tools, techniques and frameworks. We are once again here to make you familiar with Big Data & Hadoop . We have developed Learn Big Data Hadoop | Big Data Hadoop Tutorials for your learning easy of big data & hadoop . big data is now trending on technology. because, in last 5 years , techonoly spread a lot and very large amount of data has been generated. so there is only computing not enough to handle these data to be processed. hence big data came into the picture. now it is on trending choice now. Our app Learn Hadoop and Big data Tutorials is developed for beginners and advance learner both. because material of explanation is very well written in simple & clean english language. so you will not find any issue about that. Topics Introduction to Big Data Big Data Solutions in Hadoop Hadoop Environment Setup Hadoop HDFS Overview Hadoop HDFS Operations Command Reference MapReduce Hadoop tutorial Streaming in Hadoop Hadoop Multi-Node Cluster Big data Tips and tricks Big data FAQs We have divide tutorials in parts 1. learn hadoop 2. learn hbase 3. learn hive 4. learn pig 5. learn spark 6. learn sqoop 7. big data hadoop interview questions Learn Hadoop Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Learn Sqoop Sqoop is a tool designed to transfer data between Hadoop and relational database servers. It is used to import data from relational databases such as MySQL, Oracle to Hadoop HDFS, and export from Hadoop file system to relational databases. Learn Hive Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy. Learn HBase HBase is a data model that is similar to Google’s big table designed to provide quick random access to huge amounts of structured data. This app provides an introduction to HBase, the procedures to set up HBase on Hadoop File Systems, and ways to interact with HBase shell. Learn Big Data Analytics Big Data Analytics largely involves collecting data from different sources, munge it in a way that it becomes available to be consumed by analysts and finally deliver data products useful to the organization business. We have collection of interview questions of big data hadoop. it will use full to you in interview as well as exams and other place. we always try to come up with best for you.

About

Learn Docker

Master Docker, containers, and DevOps with structured lessons and an AI assistant. Learn containerization, microservices, cloud deployment, and Kubernetes fundamentals. Track your progress and get instant coding help.

Highlights
  • AI Assistant for Docker & Containerization
  • 100+ Structured Lessons
  • Containerization Fundamentals
  • Kubernetes & Microservices
  • DevOps Workflow Training
  • Progress Tracking
  • Code Debugging Assistance
Features
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Master Docker, Kubernetes, and the complete DevOps toolchain with the most comprehensive and interactive containerization learning app . Whether you're a developer wanting to containerize apps, a sysadmin transitioning to DevOps, or building a cloud-native career — this is your all-in-one path to production-ready skills. COMPLETE CURRICULUM - 20+ Learning Modules In One App.Start from scratch and become job-ready with our structured DevOps learning path: Core Docker Mastery: - Docker containers, images, and registries deep dive - Docker Engine, CLI, Desktop, and BuildKit - Dockerfile best practices & multi-stage builds - Docker Compose: multi-container orchestration - Networking, volumes, and persistent storage Operating System Foundations: - Linux basics for Docker power users - Processes, permissions, and file systems - Shell scripting & systemd in containers - Namespaces, cgroups, and OCI standards Container Orchestration - Kubernetes: pods, deployments, services, ingress - Docker Swarm clustering & stack files - OpenShift, Nomad, Helm charts & StatefulSets - Service discovery, scaling & rolling updates Cloud & DevOps Platforms: - AWS ECS, EKS, and Fargate - Azure Container Instances & AKS - DigitalOcean, Linode, and Vultr containers CI/CD & Automation: - GitHub Actions for Docker pipelines - Jenkins, GitLab CI, CircleCI integration - Build, test, and deploy automation - Blue-green & canary release strategies Infrastructure as Code: - Terraform & Docker provider - Ansible container playbooks - Pulumi & CloudFormation templates - Configuration management at scale Monitoring & Observability: - Prometheus metrics & Grafana dashboards - ELK stack (Elasticsearch, Logstash, Kibana) - Loki logging & Jaeger distributed tracing - Health checks, alerting & SLOs Container Security: - Vulnerability scanning with Trivy & Snyk - Runtime security with Falco - Secrets management with HashiCorp Vault - RBAC, AppArmor, SELinux & zero trust Production-Ready Ecosystem: - Web servers: NGINX, Apache, Traefik, Caddy - Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch - Languages: Python, Node.js, Go, Java, PHP, Rust in containers - Microservices: API gateways, circuit breakers, sidecars Advanced DevOps: - GitOps with ArgoCD & Flux - DevSecOps practices - Auto-scaling & self-healing systems - Real-world debugging & troubleshooting AI TUTOR - Your 24/7 DevOps Learning AssistantI: - Ask any Docker, Kubernetes, or DevOps question - Get Dockerfile and YAML fixes instantly - Explain complex concepts in simple terms - Personalized learning recommendations GAMIFIED LEARNING - Stay Motivated: - Daily learning streaks with fire animations - Achievement badges for milestones - XP points & level progression - Study reminders with push notifications POWERFUL ORGANIZATION TOOLS: - Bookmarks: Save lessons for quick access - Notes: Write personal notes on any lesson - Code Snippets: Store reusable Dockerfiles & YAML - Search: Find anything instantly across all content - Dark mode for comfortable night learning LEARN OFFLINE - Anytime, Anywhere: - All content are offline access - Study on your commute without internet - Perfect for learning on planes, trains, or remote areas REAL-WORLD, PRODUCTION-READY SKILLS: - Write optimized Dockerfiles for any language - Debug container issues like a senior DevOps engineer - Deploy full stacks to AWS, GCP, and Azure - Set up complete CI/CD pipelines from scratch PERFECT FOR: - Developers learning to containerize applications - System Administrators moving to DevOps - Professionals switching to cloud-native careers - Self-taught learners wanting structured DevOps paths Start learning Docker today. Build real confidence in containerization, DevOps, and Cloud development with an AI Assistant guiding you every step of the way.

Screenshots

Learn Hadoop & Big Data4 screens
Learn Docker4 screens

Verdict

The call

The clearest difference is update cadence: Learn Docker at every 4 months against Learn Hadoop & Big Data's every 31 months. Learn Hadoop & Big Data's advantage is price ($1.99 vs $4.99) and iOS requirement (13.0 vs 17). On ads, in-app purchases 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

Learn Hadoop & Big Data costs $1.99 and Learn Docker $4.99 up front. Neither carries in-app purchases, so what you see is what you pay.

UpkeepUpdate frequency

Learn Hadoop & Big Data ships an update every 31 months, Learn Docker every 4 months. The most recent releases landed on September 9, 2026 and September 6, 2026 respectively.

Scorecard3 real differences · 7 level
Learn Hadoop & Big Data versus Learn Docker: the parameters behind the verdict, then further details
ParameterLearn Hadoop & Big DataLearn Docker
Price$1.99 — better$4.99
Rating—2.0 (4 ratings) — better
Positive reviews—0.0% of reviews
Number of ratings—4 — better
Update frequencyEvery 31 monthsEvery 4 months — better
AdsNoNo
In-app purchasesNoNo
Monetization—Paid
DevicesiPhone, iPad, iPod — betteriPhone, iPad
Requires iOS13.0 — better17
Further details — not scored
Size38 MB162 MB
Age rating4+9+
DeveloperMuhammad MubeenShahbaz Khan

In-app purchases

None

Learn Hadoop & Big Data

No in-app purchases

None

Learn Docker

No in-app purchases

Questions

Is Learn Hadoop & Big Data free?
Learn Hadoop & Big Data costs $1.99, with no in-app purchases.
Is Learn Docker free?
Learn Docker costs $4.99, with no in-app purchases.
Do Learn Hadoop & Big Data or Learn Docker have ads?
Neither Learn Hadoop & Big Data nor Learn Docker shows ads.
Which is updated more often, Learn Hadoop & Big Data or Learn Docker?
Learn Hadoop & Big Data ships an update every 31 months, and Learn Docker every 4 months. Most recently, Learn Hadoop & Big Data was updated on September 9, 2026 and Learn Docker on September 6, 2026.

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