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Hadoop VS Microsoft IIS

Compare Hadoop VS Microsoft IIS and see what are their differences

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  3. » Reviews
  4. » Alternatives

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing

Microsoft IIS logo Microsoft IIS

Internet Information Services is a web server for Microsoft Windows
  • Hadoop Landing page
    Landing page //
    2021-09-17
  • Microsoft IIS Landing page
    Landing page //
    2023-01-25

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.

Microsoft IIS features and specs

  • Integration with Windows Server
    Since IIS is developed by Microsoft, it offers seamless integration with Windows Server, leveraging features like Active Directory, .NET Framework, and PowerShell for enhanced performance and manageability.
  • User-Friendly Interface
    IIS features a graphical user interface (GUI) that simplifies the server setup and management process, making it easier for administrators to configure and maintain web applications.
  • Extensive Documentation and Support
    Being a product from Microsoft, IIS offers comprehensive documentation, extensive online resources, and professional technical support, which can be highly beneficial for enterprise users.
  • Security Features
    IIS includes various built-in security features, such as dynamic IP restrictions, request filtering, application pooling, and integration with Windows authentication, making it a secure choice for hosting web applications.
  • Performance and Scalability
    IIS is optimized for performance and can effectively handle multiple requests and high-traffic websites. It also supports load balancing and server farms to enhance scalability.

Possible disadvantages of Microsoft IIS

  • Cost Considerations
    Unlike some other web servers that are open-source and free, IIS may incur licensing costs as it requires a Windows Server license, making it potentially expensive for small-scale deployments.
  • Platform Dependency
    IIS runs exclusively on the Windows platform, which can be a limitation for organizations that use a diverse set of operating systems or prefer open-source ecosystems like Linux.
  • Complex Configuration for Advanced Features
    While IIS offers a user-friendly interface for basic setups, configuring advanced features may require considerable expertise and can become complex, particularly for those unfamiliar with Microsoft's environment.
  • Performance Overheads
    IIS may introduce performance overhead due to the multiple layers of abstraction and integration with Windows features, which can affect performance in some high-demand scenarios compared to lightweight, minimalist web servers.
  • Lower Community Support
    Open-source web servers like Apache and Nginx have large, active communities that contribute to continuous improvement and troubleshooting. IIS, being a proprietary product, has a smaller community in comparison.

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

Microsoft IIS videos

+ Add

Analyzing Microsoft IIS Web Logs - Part 1

More videos:

  • Review - My SEO Video 2017 Microsoft IIS SEO Toolkit

Category Popularity

0-100% (relative to Hadoop and Microsoft IIS)

Hadoop

Microsoft IIS

Databases
100 100%
Databases
0% 0
Web And Application Servers
0 0%
Web And Application Servers
100% 100
Big Data
100 100%
Big Data
0% 0
Web Servers
0 0%
Web Servers
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 Microsoft IIS

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

Microsoft IIS Reviews

Apache, IIS, NGINX, GWS : What’s Your Choice?
Utilizing a specific type of virtual or physical server determines the type of web server software you use. If you prefer Microsoft, then you will prefer to use IIS (Internet Information Services / Server) by Microsoft as your primary web server application solution. If you use Linux distribution, you have other alternatives like Apache, NGINX and LiteSpeed.
Source: www.milesweb.in
What Is the Most Popular Web Server Application in 2021?
Despite being bundled with most modern Microsoft software, IIS loses out to Apache on its own devices. The main selling point here is performance. While IIS has kept up with Apache in recent times, Apache has historically been performing much better, which still gives it an edge over IIS.
Source: digitalintheround.com

Social recommendations and mentions

Based on our record, Hadoop seems to be more popular. It has been mentiond 25 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 / 7 days 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 / 7 days 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 / 13 days 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 / 2 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 / 2 months ago
View more

Microsoft IIS mentions (0)

We have not tracked any mentions of Microsoft IIS yet. Tracking of Microsoft IIS recommendations started around Mar 2021.

What are some alternatives?

When comparing Hadoop and Microsoft IIS, 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.

Apache HTTP Server - Apache httpd has been the most popular web server on the Internet since April 1996

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

Apache Tomcat - An open source software implementation of the Java Servlet and JavaServer Pages technologies

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

LiteSpeed Web Server - LiteSpeed Web Server (LSWS) is a high-performance Apache drop-in replacement.

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