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Apache HTTP Server VS Spark Streaming

Compare Apache HTTP Server VS Spark Streaming and see what are their differences

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Apache HTTP Server logo Apache HTTP Server

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

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Apache HTTP Server Landing page
    Landing page //
    2021-10-21
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Apache HTTP Server features and specs

  • Open Source
    Apache HTTP Server is open source, meaning it is freely available for anyone to use, modify, and distribute. This promotes a large, active community that contributes to its maintenance and improvement.
  • Cross-Platform
    Apache is compatible with a variety of operating systems, including Unix, Linux, and Windows, providing flexibility and widespread usability.
  • Highly Customizable
    It offers a modular architecture that allows users to enable or disable features as needed, and to extend functionality through modules.
  • Robust Documentation
    Apache provides comprehensive and detailed documentation, which makes it easier for users to install, configure, and troubleshoot the server.
  • Widespread Adoption
    With its long history and widespread use, Apache has proven to be reliable and trusted by many organizations worldwide, ensuring a level of trust and stability.
  • Rich Feature Set
    Apache includes many features out-of-the-box, such as SSL/TLS support, URL redirection, authentication, load balancing, and more.

Possible disadvantages of Apache HTTP Server

  • Performance Overhead
    Compared to some lightweight web servers like Nginx, Apache can have higher memory and CPU usage, which may not be ideal for high concurrency needs.
  • Complex Configuration
    Apache's extensive customization options can lead to a complex configuration process, which may be challenging for beginners or those without specific expertise.
  • Less Efficient in Serving Static Content
    While Apache is highly capable, it may be less efficient at serving static content compared to specialized web servers like Nginx.
  • Initial Learning Curve
    Due to its rich features and configurability, new users might face a steep learning curve when first setting up and using Apache HTTP Server.
  • Module Compatibility Issues
    Sometimes, third-party modules may not always be compatible with the latest versions of Apache, causing potential integration issues.

Spark Streaming features and specs

  • Scalability
    Spark Streaming is highly scalable and can handle large volumes of data by distributing the workload across a cluster of machines. It leverages Apache Spark's capabilities to scale out easily and efficiently.
  • Integration
    It integrates seamlessly with other components of the Spark ecosystem, such as Spark SQL, MLlib, and GraphX, allowing for comprehensive data processing pipelines.
  • Fault Tolerance
    Spark Streaming provides fault tolerance by using Spark's micro-batching approach, which allows the system to recover data in case of a failure.
  • Ease of Use
    Spark Streaming provides high-level APIs in Java, Scala, and Python, making it relatively easy to develop and deploy streaming applications quickly.
  • Unified Platform
    It provides a unified platform for both batch and streaming data processing, allowing reuse of code and resources across different types of workloads.

Possible disadvantages of Spark Streaming

  • Latency
    Spark Streaming operates on a micro-batch processing model, which introduces latency compared to real-time processing. This may not be suitable for applications requiring immediate responses.
  • Complexity
    While it integrates well with other Spark components, building complex streaming applications can still be challenging and may require expertise in distributed systems and stream processing concepts.
  • Resource Management
    Efficiently managing cluster resources and tuning the system can be difficult, especially when dealing with variable workload and ensuring optimal performance.
  • Backpressure Handling
    Handling backpressure effectively can be a challenge in Spark Streaming, requiring careful management to prevent resource saturation or data loss.
  • Limited Windowing Support
    Compared to some stream processing frameworks, Spark Streaming has more limited options for complex windowing operations, which can restrict some advanced use cases.

Analysis of Apache HTTP Server

Overall verdict

  • Yes, Apache HTTP Server is generally considered a good and reliable web server.

Why this product is good

  • Apache HTTP Server is one of the most widely used and established web servers in the world. It is open-source, highly configurable, and supports a wide range of features through modules. Its robustness, extensive documentation, strong community support, and flexibility are some of the reasons it remains popular.

Recommended for

  • Developers and organizations looking for a reliable and versatile web server solution.
  • Those who need extensive customization and configuration options for their web environment.
  • Users who prefer an established platform with a large community and extensive documentation.
  • Teams that require compatibility with various operating systems and environments.

Apache HTTP Server videos

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Spark Streaming videos

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Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to Apache HTTP Server and Spark Streaming)

Apache HTTP Server

Spark Streaming

Web And Application Servers
100 100%
Web And Application Servers
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Web Servers
100 100%
Web Servers
0% 0
Data Management
0 0%
Data Management
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 HTTP Server and Spark Streaming

Apache HTTP Server Reviews

9 Best XAMPP Alternatives Cross Platform Web Server
However, compared to XAMPP and other popular web servers in the market Apache HTTP Server is a bit more complicated and is a little difficult to navigate for a complete newbie, but if you want to understand web development from the very fundamentals and understand how Apache as a web server software works then this software can be of great help to you.
Source: technicalustad.com
Litespeed vs Nginx vs Apache: Web Server Showdown
The most commonly used Web Server is by far Apache HTTP Server from the Software Apache Foundation. Created in 1995 by Rob McCool and Brian Behlendorf, among others. The name is a pun for A PatCHy server, as at the time of it’s inception, Apache was based on some existing code, along with some perhaps “hacky or clunky” software packages, enabling it to run. Additionally, the...
Source: chemicloud.com
10 Best alternatives of XAMPP servers for Windows, Linux and macOS
Apache is an open-source and free web server software that owns about 46% of websites worldwide. The official name is Apache HTTP Server and is maintained and developed by the Apache Software Foundation. This allows website owners to serve content on the web – hence the name “webserver”.
Source: www.isrgrajan.com
Top 5 open source web servers
As the Apache HTTP Server has been the most popular web server since 1996, it "benefits from great documentation and integrated support from other software projects." You can find more information on the Apache Foundation project page.
Source: opensource.com

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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Social recommendations and mentions

Based on our record, Apache HTTP Server seems to be a lot more popular than Spark Streaming. While we know about 69 links to Apache HTTP Server, we've tracked only 5 mentions of Spark Streaming. 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 HTTP Server mentions (69)

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Spark Streaming mentions (5)

  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / about 2 months ago
  • Streaming Data Alchemy: Apache Kafka Streams Meet Spring Boot
    Apache Spark Streaming: Offers micro-batch processing, suitable for high-throughput scenarios that can tolerate slightly higher latency. https://spark.apache.org/streaming/. - Source: dev.to / 10 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / over 1 year ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 2 years ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 3 years ago

What are some alternatives?

When comparing Apache HTTP Server and Spark Streaming, you can also consider the following products

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

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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