Software Alternatives, Accelerators & Startups
Register | Login

LiteSpeed Web Server VS Hadoop

Compare LiteSpeed Web Server VS Hadoop and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

LiteSpeed Web Server logo LiteSpeed Web Server

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

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • LiteSpeed Web Server Landing page
    Landing page //
    2021-07-31
  • Hadoop Landing page
    Landing page //
    2021-09-17

LiteSpeed Web Server features and specs

  • Performance
    LiteSpeed is known for its high performance, handling more traffic with fewer resources compared to traditional web servers like Apache.
  • Built-in Caching
    It comes with LSCache, which provides advanced server-side caching, significantly boosting loading times for web applications.
  • Security
    LiteSpeed includes built-in anti-DDoS features, application-level distributed defense, and the ability to mitigate different kinds of attacks effectively.
  • Easy Apache Replacement
    LiteSpeed is compatible with Apache's htaccess, mod_rewrite, and mod_security, making it easy to switch from Apache without changing configurations.
  • HTTP/2 and HTTP/3 Support
    LiteSpeed supports modern protocols such as HTTP/2 and HTTP/3, making it suitable for the latest website requirements and performance enhancements.

Possible disadvantages of LiteSpeed Web Server

  • Cost
    LiteSpeed is a commercial solution, and its licensing fees can be a disadvantage for smaller businesses or individual developers.
  • Proprietary Software
    Being a proprietary solution, it doesn’t offer the transparency and community support advantages of open-source web servers like Apache and Nginx.
  • Learning Curve
    Switching to LiteSpeed may involve a learning curve, especially for those accustomed to other web server technologies.
  • Limited Customization
    It may not offer the same level of customization and flexibility as some other web servers, particularly in specialized or highly unique environments.

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.

LiteSpeed Web Server videos

+ Add

What Is LiteSpeed Web Server?

More videos:

  • Review - What Is LiteSpeed Web Server?

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

Category Popularity

0-100% (relative to LiteSpeed Web Server and Hadoop)

LiteSpeed Web Server

Hadoop

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

User comments

Share your experience with using LiteSpeed Web Server and Hadoop. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

LiteSpeed Web Server Reviews

Litespeed vs Nginx vs Apache: Web Server Showdown
LiteSpeed Web Server, abbreviated as LSWS, is almost a newcomer to the webserver ‘scene’. It has gained a huge, perhaps even cult-like following in the last few years among web hosting companies due to its efficiency. With its streamlined architecture, companies running LiteSpeed Web Server could (theoretically) double the maximum capacity of websites their servers, assuming...
Source: chemicloud.com
Top Linux Web Servers: Pros and Cons
LiteSpeed comes in two versions: a free one known as OpenLiteSpeed and a paid enterprise version with extended functionality.
Source: bigstep.com
Alternative web servers compared: Lighttpd, Nginx, LiteSpeed and Zeus
Brief info: LiteSpeed is a commercial web server designed specifically for large websites. One of LiteSpeed’s advantages is that it can read Apache configurations directly which makes it easy to integrate with existing products to replace Apache. The server is lightweight and as the name implies very fast.
Source: www.pingdom.com

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

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.

LiteSpeed Web Server mentions (0)

We have not tracked any mentions of LiteSpeed Web Server yet. Tracking of LiteSpeed Web Server recommendations started around Mar 2021.

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 / 3 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 / 4 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 / 10 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

What are some alternatives?

When comparing LiteSpeed Web Server and Hadoop, you can also consider the following products

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

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

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

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

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

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

Loading...