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Apache Spark VS LiteSpeed Web Server

Compare Apache Spark VS LiteSpeed Web Server and see what are their differences

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Apache Spark logo 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 logo LiteSpeed Web Server

LiteSpeed Web Server (LSWS) is a high-performance Apache drop-in replacement.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • LiteSpeed Web Server Landing page
    Landing page //
    2021-07-31

Apache Spark features and specs

  • Speed
    Apache Spark processes data in-memory, significantly increasing the processing speed of data tasks compared to traditional disk-based engines.
  • Ease of Use
    Spark offers high-level APIs in Java, Scala, Python, and R, making it accessible to a broad range of developers and data scientists.
  • Advanced Analytics
    Spark supports advanced analytics, including machine learning, graph processing, and real-time streaming, which can be executed in the same application.
  • Scalability
    Spark can handle both small- and large-scale data processing tasks, scaling seamlessly from a single machine to thousands of servers.
  • Support for Various Data Sources
    Spark can integrate with a wide variety of data sources, including HDFS, Apache HBase, Apache Hive, Cassandra, and many others.
  • Active Community
    Spark has a vibrant and active community, providing a wealth of extensions, tools, and support options.

Possible disadvantages of Apache Spark

  • Memory Consumption
    Spark's in-memory processing can be resource-intensive, requiring substantial amounts of RAM, which can drive up costs for large-scale deployments.
  • Complexity in Configuration
    To optimize performance, Spark requires careful configuration and tuning, which can be complex and time-consuming.
  • Learning Curve
    Despite its ease of use, mastering the full range of Spark's features and best practices can take considerable time and effort.
  • Latency for Small Data
    For smaller datasets or low-latency requirements, Spark might not be the most efficient choice, as other technologies could offer better performance.
  • Integration Overhead
    Though Spark integrates with many systems, incorporating it into an existing data infrastructure can introduce additional overhead and complexity.
  • Community Support Variability
    While the community is active, the support and quality of third-party libraries and tools can be inconsistent, leading to potential challenges in implementation.

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.

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

LiteSpeed Web Server videos

+ Add

What Is LiteSpeed Web Server?

More videos:

  • Review - What Is LiteSpeed Web Server?

Category Popularity

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

Apache Spark

LiteSpeed Web Server

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 Apache Spark and LiteSpeed Web Server

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

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

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 70 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.

Apache Spark mentions (70)

  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 23 days ago
  • How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark
    Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 25 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
  • The Application of Java Programming In Data Analysis and Artificial Intelligence
    [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 2 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
View more

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.

What are some alternatives?

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

Hadoop - Open-source software for reliable, scalable, distributed computing

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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

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