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Spark Streaming VS Bootstrap

Compare Spark Streaming VS Bootstrap and see what are their differences

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Contents:
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  3. » Reviews
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Spark Streaming logo Spark Streaming

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

Bootstrap logo Bootstrap

Simple and flexible HTML, CSS, and JS for popular UI components and interactions
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • Bootstrap Landing page
    Landing page //
    2023-04-22

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.

Bootstrap features and specs

  • Responsive Design
    Bootstrap's grid system ensures that webpages are responsive and adapt to different screen sizes seamlessly.
  • Pre-designed Components
    Bootstrap comes with a variety of pre-designed components like buttons, forms, modals, and navigation bars that streamline the development process.
  • Cross-browser Compatibility
    Bootstrap ensures that your website will function correctly across different browsers, reducing the time spent on debugging issues related to browser inconsistencies.
  • Extensive Documentation
    The documentation is comprehensive and well-organized, making it easier for developers to understand and implement Bootstrap features quickly.
  • Community Support
    With a large and active community, finding help and resources related to Bootstrap development is relatively easy.
  • Customizable
    Bootstrap allows you to customize the default styles and components using Sass variables, making it adaptable to any project needs.
  • CDN Support
    Bootstrap can be included via Content Delivery Networks (CDN), which can help to speed up the initial load time of your web pages.

Possible disadvantages of Bootstrap

  • Uniform Look
    Websites built with Bootstrap often look similar because many developers use the default styles and components without customization.
  • Overhead
    Including the entire Bootstrap library can add unnecessary weight to your project if you only use a small fraction of its features.
  • Learning Curve
    For beginners, the extensive set of features and classes can be overwhelming and take some time to learn.
  • Dependency on jQuery
    Older versions of Bootstrap heavily rely on jQuery, which can be a disadvantage for projects that aim to minimize dependencies.
  • Specific Structure
    Bootstrap works best when you adhere to its predefined structure and classes, which can limit flexibility for more complex or unique designs.
  • Customization Challenges
    Deep customization can be difficult and time-consuming, especially if you need to override many default styles and behaviors.
  • Performance Issues
    Using a large number of Bootstrap components can lead to performance issues, particularly on lower-end devices.

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

Bootstrap videos

+ Add

Is Bootstrap Still Worth It? -- 1 Design, 2 Code Bases.

More videos:

  • Review - BOOTSTRAP Review | Best CSS Library ?
  • Review - Should you use Bootstrap?

Category Popularity

0-100% (relative to Spark Streaming and Bootstrap)

Spark Streaming

Bootstrap

Stream Processing
100 100%
Stream Processing
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Data Management
100 100%
Data Management
0% 0
Design Tools
0 0%
Design Tools
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 Bootstrap

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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Bootstrap Reviews

22 Best Bootstrap Alternatives & What Each Is Best For
Bootstrap alternatives are a suite of different tools and frameworks that web developers and designers employ for creating dynamic, responsive websites and applications. These tools, like Bootstrap itself, offer pre-written code for different elements of a website - from typography and buttons to navigation bars and image carousels - but each has its unique features and...
Source: thectoclub.com
15 Top Bootstrap Alternatives For Frontend Developers in 2024
UIKit is a modular front-end framework like Bootstrap and a Bootstrap competitor designed to develop fast and powerful web interfaces. You can utilize it with HTML or JavaScript based on your preference. It offers built-in support for right-to-left languages and includes an extensive library of components. This framework like Bootstrap provides a convenient solution for...
Source: coursesity.com
9 Best Bootstrap Alternatives | Best Frontend Frameworks [2024]
The only downside it has as compared to Bootstrap and Foundation is it is only a CSS framework, which means no JavaScript. So you will have to write your own JavaScript or Jquery to toggle your dropdowns or perform other basic interactionhttps://bulma.io/s of the sort. Overall it is a great alternative to Bootstrap, which is also being updated very frequently.
Source: hackr.io
Top 10 Best CSS Frameworks for Front-End Developers in 2022
Bootstrap is one of the most popular CSS frameworks globally and received instant popularity because of its responsive design. It was also the first framework that gave priority to mobile devices. With Bootstrap, there is no need for a separate design for mobile viewing. You just need to add the necessary classes, and the website will adapt to the screen size based on the...
Source: hackr.io
15 Best CSS Frameworks: Professional Bootstrap and Foundation Alternatives
This is why Bootstrap is by far the most popular framework on the market. All developers have heard of Bootstrap, and more than 80% of them say they are happy using it.
Source: www.webdesignerdepot.com

Social recommendations and mentions

Based on our record, Bootstrap seems to be a lot more popular than Spark Streaming. While we know about 363 links to Bootstrap, 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.

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 1 month 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 / 9 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

Bootstrap mentions (363)

  • Have I Been Pwned 2.0 is Now Live
    Not in the so distant past, when Bootstrapped themes were becoming the face of the Internet, a new framework came to town — TailwindCSS. The smart thing they did was introduced the framework with a few brilliant template and a lot of styled components. I bought the initial copy and does a lot of people. Those templates, TailwindUI.com (now TailwindCSS.com/plus)[1] became the gradien-y, dark-ish, glow-y design you... - Source: Hacker News / 3 days ago
  • How to Build a Blog with Laravel (& Send Slack Notifications)
    This will show the posts passed from the controller in a row of cards. Please notice that you are linking to Bootstrap’s CDN for easy styling. If there are no posts, a message on a card saying that there are no posts will be shown. - Source: dev.to / about 1 month ago
  • Overengineered Anchor Links
    Yeah, good point. It's kinda common to have a big footer. Examples: https://getbootstrap.com/, https://stake.us/ (casino) That way on desktop you could get away with a 50vh margin under the content and then another 50vh for the footer. - Source: Hacker News / about 2 months ago
  • The 3 Best Python Frameworks To Build UIs for AI Apps
    FastHTML allows developers to build modern web applications entirely in Python without touching JavaScript or React. As its name implies, it is quicker to begin with FastHTML. However, it does not have pre-built UI components and styling. Getting the best out of this framework requires the knowledge of HTMX and UI styling using CSS libraries like Tailwind and Bootstrap. - Source: dev.to / 2 months ago
  • Tailwind CSS vs. Bootstrap: Which Framework is Better for Your Project?
    Bootstrap is one of the oldest and most established CSS frameworks, originally developed by Twitter in 2011. It takes a component-based approach to web development, providing a comprehensive collection of ready-to-use UI elements and prebuilt components. - Source: dev.to / 2 months ago
View more

What are some alternatives?

When comparing Spark Streaming and Bootstrap, you can also consider the following products

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

Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.

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

Materialize CSS - A modern responsive front-end framework based on Material Design

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

Bulma - Bulma is an open source CSS framework based on Flexbox and built with Sass. It's 100% responsive, fully modular, and available for free.

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