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Hadoop VS Apache Cordova

Compare Hadoop VS Apache Cordova and see what are their differences

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Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing

Apache Cordova logo Apache Cordova

Platform for building native mobile applications using HTML, CSS and JavaScript
  • Hadoop Landing page
    Landing page //
    2021-09-17
  • Apache Cordova Landing page
    Landing page //
    2023-01-17

Hadoop features and specs

  • Scalability
    Hadoop can easily scale from a single server to thousands of machines, each offering local computation and storage.
  • Cost-Effective
    It utilizes a distributed infrastructure, allowing you to use low-cost commodity hardware to store and process large datasets.
  • Fault Tolerance
    Hadoop automatically maintains multiple copies of all data and can automatically recover data on failure of nodes, ensuring high availability.
  • Flexibility
    It can process a wide variety of structured and unstructured data, including logs, images, audio, video, and more.
  • Parallel Processing
    Hadoop's MapReduce framework enables the parallel processing of large datasets across a distributed cluster.
  • Community Support
    As an Apache project, Hadoop has robust community support and a vast ecosystem of related tools and extensions.

Possible disadvantages of Hadoop

  • Complexity
    Setting up, maintaining, and tuning a Hadoop cluster can be complex and often requires specialized knowledge.
  • Overhead
    The MapReduce model can introduce additional overhead, particularly for tasks that require low-latency processing.
  • Security
    While improvements have been made, Hadoop's security model is considered less mature compared to some other data processing systems.
  • Hardware Requirements
    Though it can run on commodity hardware, Hadoop can still require significant computational and storage resources for larger datasets.
  • Lack of Real-Time Processing
    Hadoop is mainly designed for batch processing and is not well-suited for real-time data analytics, which can be a limitation for certain applications.
  • Data Integrity
    Distributed systems face challenges in maintaining data integrity and consistency, and Hadoop is no exception.

Apache Cordova features and specs

  • Cross-Platform Development
    Apache Cordova enables developers to build applications for multiple platforms (iOS, Android, Windows, etc.) using a single codebase, which saves time and resources.
  • Use of Web Technologies
    Cordova allows the use of standard web technologies like HTML, CSS, and JavaScript, making it accessible for web developers to create mobile applications without needing to learn platform-specific languages.
  • Extensive Plugin Ecosystem
    Cordova provides a wide range of plugins that enable access to native device functionalities (such as the camera, accelerometer, GPS, etc.), allowing for more versatile app development.
  • Cost Effective
    By reducing the need for multiple native developers and leveraging a single web development team, Cordova can significantly cut down the costs of application development.
  • Open Source
    As an open-source project, Apache Cordova benefits from community support and contributions, leading to continuous improvements and a wealth of shared knowledge and code.

Possible disadvantages of Apache Cordova

  • Performance Issues
    Applications built with Cordova may experience performance issues, especially with complex graphical or computational tasks, as they are essentially web applications wrapped in a native container.
  • Limited Native Functionality
    Although Cordova provides many plugins, accessing the latest native features often requires custom development, which can be complicated and time-consuming.
  • Dependency on Plugins
    Developers often rely heavily on third-party plugins to access native features. If these plugins are not well-maintained, they can introduce compatibility issues and bugs.
  • User Experience
    The user experience of Cordova-based apps may not be as smooth or responsive as fully native applications, potentially leading to lower user satisfaction.
  • Security Concerns
    Using multiple plugins and technologies can increase the surface area for security vulnerabilities. Also, web-based applications can be more susceptible to common web security issues.

Analysis of Hadoop

Overall verdict

  • Hadoop is a robust and powerful data processing platform that is well-suited for organizations that need to manage and analyze large-scale data. Its resilience, scalability, and open-source nature make it a popular choice for big data solutions. However, it may not be the best fit for all use cases, especially those requiring real-time processing or where ease of use is a priority.

Why this product is good

  • Hadoop is renowned for its ability to store and process large datasets using a distributed computing model. It is scalable, cost-effective, and efficient in handling massive volumes of data across clusters of computers. Its ecosystem includes a wide range of tools and technologies like HDFS, MapReduce, YARN, and Hive that enhance data processing and analysis capabilities.

Recommended for

  • Organizations dealing with vast amounts of data needing efficient batch processing.
  • Businesses that require scalable storage solutions to manage their data growth.
  • Companies interested in leveraging a diverse ecosystem of data processing tools and technologies.
  • Technical teams that have the expertise to manage and optimize complex distributed systems.

Hadoop videos

+ Add

What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Apache Cordova videos

+ Add

Apache Cordova - Hello World from Android and iOS

More videos:

  • Review - What’s Your View on Apache Cordova?

Category Popularity

0-100% (relative to Hadoop and Apache Cordova)

Hadoop

Apache Cordova

Databases
100 100%
Databases
0% 0
Development Tools
0 0%
Development Tools
100% 100
Big Data
100 100%
Big Data
0% 0
JavaScript Framework
0 0%
JavaScript Framework
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Hadoop and Apache Cordova

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
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. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Apache Cordova Reviews

Top 10 Flutter Alternatives for Cross-Platform App Development
Developed by Apache Cordova, PhoneGap is used extensively for developing cross-platform mobile with the use of several web technologies. It lets developers write code by using HTML, CSS & JavaScript and package it as a native app. Being a simple framework, it includes the largest collection of plugins that extend its wide functionality.
Source: www.moontechnolabs.com
Top 5 Flutter Alternatives for Cross-Platform Development
Apache Cordova is an open-source mobile development framework that lets you create cross-platform apps using standard web technologies like HTML5, CSS3, and JavaScript. Like NativeScript, Apache Cordova is more accessible to developers comfortable with web development, especially Angular or VueJS.
Source: www.miquido.com
Exploring 15 Powerful Flutter Alternatives
Oracle Mobile Application Framework (MAF) offers cross-platform development using standards like HTML5 and JavaScript containerized via Apache Cordova. Oracle MAF delivers excellent offline support capabilities matching the needs of field service teams and remote inspectors. With tools like Oracle Database and middleware, MAF apps cache relevant data subsets locally while...
Source: positiwise.medium.com
Top 10 Android Studio Alternatives For App Development
Apache Cordova is used for building mobile applications with the help of HTML, CSS, and Javascript. It is an open-source mobile application development framework that was created by Nitobi.
Source: www.geeksforgeeks.org
10 Best Android Studio Alternatives For App Development
Apache Cordova is a tool to develop Android App Development. It enables software engineers to build apps for Android mobile phones. Using HTML5, CSS3, JavaScript instead of relying on platform-specific APIs. Like those in Android, iOS or Windows phones. When you are using Apache Cordova APIs, an app can be developed without any native code (like Java, objective-C, etc.) from...
Source: techdator.net

Social recommendations and mentions

Based on our record, Apache Cordova should be more popular than Hadoop. It has been mentiond 44 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Hadoop mentions (25)

  • Apache Hadoop: Open Source Business Model, Funding, and Community
    This post provides an in‐depth look at Apache Hadoop, a transformative distributed computing framework built on an open source business model. We explore its history, innovative open funding strategies, the influence of the Apache License 2.0, and the vibrant community that drives its continuous evolution. Additionally, we examine practical use cases, upcoming challenges in scaling big data processing, and future... - Source: dev.to / about 1 month ago
  • What is Apache Kafka? The Open Source Business Model, Funding, and Community
    Modular Integration: Thanks to its modular approach, Kafka integrates seamlessly with other systems including container orchestration platforms like Kubernetes and third-party tools such as Apache Hadoop. - Source: dev.to / about 1 month ago
  • India Open Source Development: Harnessing Collaborative Innovation for Global Impact
    Over the years, Indian developers have played increasingly vital roles in many international projects. From contributions to frameworks such as Kubernetes and Apache Hadoop to the emergence of homegrown platforms like OpenStack India, India has steadily carved out a global reputation as a powerhouse of open source talent. - Source: dev.to / about 1 month ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 3 months ago
  • Apache Hadoop: Pioneering Open Source Innovation in Big Data
    Apache Hadoop is more than just software—it’s a full-fledged ecosystem built on the principles of open collaboration and decentralized governance. Born out of a need to process vast amounts of information efficiently, Hadoop uses a distributed file system and the MapReduce programming model to enable scalable, fault-tolerant computing. Central to its success is a diverse ecosystem that includes influential... - Source: dev.to / 3 months ago
View more

Apache Cordova mentions (44)

  • Show HN: I Made a Web App to Bring Children's Drawings to Life
    This is truly amazing. Is there a 'How it Works' a 'Potentials' section? I work with things that push to inspire creativity and learning to foster the passion behind creativity and authentic works where otherwise we'd see how 'AI copies our work' and now we can see how AI can bring works to life and make them more fun. Over-all would you like to see schools adopting your project? I didn't see a contact form but... - Source: Hacker News / 6 months ago
  • PWAs wont replace native iOS apps
    Anyone have experience with/opinions on Apache Cordova? [1] It seems like it would solve most of the PWA issues. Although I vaguely recall reading that Apple is not too fond of apps that are basically just wrapped web views. [1] https://cordova.apache.org/. - Source: Hacker News / over 1 year ago
  • What's the latest way of submitting pwas to the app stores?
    Has anyone tried pwa builder?[2] Thank you for any insights! [0]https://cordova.apache.org/. - Source: Hacker News / over 1 year ago
  • Why does everyone "suddenly" hate Single Page Apps?
    A little over a decade ago, I worked on the open-source project Apache Cordova/Adobe PhoneGap, first at IBM and later at Adobe. Apache Cordova enables you to build mobile applications using HTML, CSS and JavaScript while targeting multiple platforms with one code base. In today’s technology landscape, mobile is dominated by iOS and Android. In the early 2010’s we were awash in mobile platforms from BlackBerry,... - Source: dev.to / over 2 years ago
  • The right way to build multi platform apps in 2023 using web tech. ?
    There are layers that offer access to native APIs like capacitor, cordova and nativescript. Apparently sometimes multiple of them should be used, but I didn't understand what are the differences even after reading the announcement. These seem to be frontend agnostic technologies and Capacitor is apparently the more modern choice at the moment. Source: over 2 years ago
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What are some alternatives?

When comparing Hadoop and Apache Cordova, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

React Native - A framework for building native apps with React

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

PhoneGap - Easily create apps using the web technologies you know and love: HTML, CSS, and JavaScript.

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.

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