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Spark Streaming VS Microsoft IIS

Compare Spark Streaming VS Microsoft IIS and see what are their differences

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Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Microsoft IIS logo Microsoft IIS

Internet Information Services is a web server for Microsoft Windows
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • Microsoft IIS Landing page
    Landing page //
    2023-01-25

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.

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.

Analysis of Microsoft IIS

Overall verdict

  • Microsoft IIS is a good choice for businesses and developers who are already working within a Microsoft ecosystem or need close integration with Windows applications and services. It offers a solid balance of performance, security, and ease-of-management, making it a viable option for hosting a variety of web applications.

Why this product is good

  • Microsoft IIS (Internet Information Services) is a versatile and powerful web server that integrates seamlessly with Windows Server and other Microsoft technologies. It offers robust security features, efficient management tools, reliable performance, and strong support for .NET applications. IIS is known for its ease of use in Windows environments, offering a user-friendly graphical interface and a wide range of administrative tools, such as the IIS Manager. Additionally, it supports both static and dynamic content hosting and is capable of handling large volumes of traffic efficiently.

Recommended for

  • Organizations using Windows Server environments
  • .NET application developers
  • Businesses needing seamless integration with other Microsoft services
  • Companies looking for reliable security features
  • Web hosting providers serving enterprise-level clients

Spark Streaming videos

+ Add

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

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 Spark Streaming and Microsoft IIS)

Spark Streaming

Microsoft IIS

Stream Processing
100 100%
Stream Processing
0% 0
Web And Application Servers
0 0%
Web And Application Servers
100% 100
Data Management
100 100%
Data Management
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 Spark Streaming and Microsoft IIS

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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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, Spark Streaming seems to be more popular. It has been mentiond 5 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.

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

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 Spark Streaming and Microsoft IIS, you can also consider the following products

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

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

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

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

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

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

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