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Hadoop VS Apache Tomcat

Compare Hadoop VS Apache Tomcat and see what are their differences

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Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing

Apache Tomcat logo Apache Tomcat

An open source software implementation of the Java Servlet and JavaServer Pages technologies
  • Hadoop Landing page
    Landing page //
    2021-09-17
  • Apache Tomcat Landing page
    Landing page //
    2023-01-24

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 Tomcat features and specs

  • Open Source
    Apache Tomcat is an open-source software, which means it is freely available for use and modifications. This can significantly reduce the cost of ownership and allows for customization.
  • Community Support
    Being a widely-used open-source server, Tomcat has a large and active community of developers and users who contribute to its documentation, plugins, and forums, providing extensive support.
  • Lightweight
    Tomcat is designed to be a lightweight servlet container, making it faster and less resource-intensive compared to full-blown Java EE application servers.
  • Integration with Popular Frameworks
    Tomcat integrates well with popular Java frameworks such as Spring and Hibernate, making it easier for developers to deploy and manage web applications.
  • Easy to Set Up and Configure
    Tomcat is relatively easy to set up and configure, making it suitable for both development and production environments.
  • Frequent Updates
    Regular updates and patches are released to improve performance, security, and compatibility, ensuring the server is up-to-date with the latest web technologies.

Possible disadvantages of Apache Tomcat

  • Limited Functionality
    While Tomcat is a powerful servlet container, it lacks some of the advanced features found in full-fledged Java EE application servers, which might be necessary for complex enterprise applications.
  • Resource Management
    Tomcat's default configuration might not be suitable for high traffic web applications, requiring significant tweaking and tuning to handle heavy loads effectively.
  • Documentation Quality
    The documentation, while extensive, can sometimes be hard to navigate and understand, especially for beginners. This can slow down the learning curve.
  • Limited Built-in Tools
    Compared to other full-stack application servers, Tomcat comes with limited built-in tooling for monitoring, load balancing, and clustering, often requiring third-party solutions.
  • Security Concerns
    As with any open-source project, security vulnerabilities may emerge. It requires constant monitoring and timely updates to ensure security.
  • Lack of EJB Support
    Tomcat does not support Enterprise JavaBeans (EJB), limiting its use in scenarios where EJB is a crucial component of the architecture.

Hadoop videos

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 Tomcat videos

Introducing Apache Tomcat 8.5

More videos:

  • Review - Webinar: Introduction to Apache Tomcat 8
  • Review - Tcat - The Leading Enterprise Apache Tomcat Application Server

Category Popularity

0-100% (relative to Hadoop and Apache Tomcat)
Databases
100 100%
0% 0
Web And Application Servers
Big Data
100 100%
0% 0
Application Server
0 0%
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 Tomcat

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.
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.
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...

Apache Tomcat Reviews

FOSS | Top 15 Web Servers 2021
Java programs are run using Apache Tomcat. To be more precise, it is a Java servlet – a Java software component that expands the functionality of a web server. Apache Tomcat, released under the Apache License version 2, is used by 0.1% of websites worldwide.
Source: www.zentao.pm
4 Open Source Application Servers (Comparison and Review)
Apache Tomcat is an open-source implementation of several Java technologies. It is the result of a collaboration of the finest developers worldwide. You can get involved with the development in a number of ways.
Source: shadow-soft.com
Top 5 open source web servers
Apache Tomcat is an open source Java servlet container that functions as a web server. A Java servlet is a Java program that extends the capabilities of a server. Although servlets can respond to any types of requests, they most commonly implement applications hosted on Web servers. Such web servlets are the Java counterpart to other dynamic web content technologies such as...
Source: opensource.com
Top 10 Open Source Java and JavaEE Application Servers
It is built upon a modular kernel powered by OSGi, and runs straight on top of the Apache Felix implementation. It is also capable of running with Equinox OSGi or Knopflerfish OSGi runtimes. HK2 abstracts the OSGi module system to provide components, which can also be viewed as services and injected into the run time and uses a derivative of Apache Tomcat as the servlet...

Social recommendations and mentions

Hadoop might be a bit more popular than Apache Tomcat. We know about 25 links to it since March 2021 and only 17 links to Apache Tomcat. 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 16 hours 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 17 hours 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 / 7 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
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Apache Tomcat mentions (17)

  • Java News: WildFly 36, Spring Milestones, and Open Liberty Updates
    Versions 11.0.6 and 9.0.104 of Apache Tomcat deliver new features and improvements. The release notes can be found for both versions. - Source: dev.to / 26 days ago
  • Artifactory: Centralizing Artifact Management for DevOps Success
    Download and Install Tomcat Before downloading, confirm the latest Tomcat build package from the official website. - Source: dev.to / 7 months ago
  • How to Deploy Applications Using Tomcat on a Web Server
    First, download the latest version of Tomcat from the official Apache Tomcat website. Choose the version that suits your needs, typically the latest stable release. - Source: dev.to / 11 months ago
  • Spring Boot Monitoring with Open-Source Tools
    Manual instrumentation allows you to define your Spans within the code itself rather than relying on automatic instrumentation finding the entry point for a trace. Manual instrumentation is especially helpful for applications that don’t use an application server such as Tomcat, JBoss, or Jetty. - Source: dev.to / over 1 year ago
  • Issue with chatgpy
    99% is a huge exaggeration. Two essential deployment tools off the top of my head: Https://tomcat.apache.org/ Https://docs.jboss.org/author/display/AS71/Developer%20Guide.html. Source: about 2 years ago
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What are some alternatives?

When comparing Hadoop and Apache Tomcat, 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.

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

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

Microsoft IIS - Internet Information Services is a web server for Microsoft Windows

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

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