Software Alternatives, Accelerators & Startups

Spark Streaming VS Materialize CSS

Compare Spark Streaming VS Materialize CSS 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.

Materialize CSS logo Materialize CSS

A modern responsive front-end framework based on Material Design
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • Materialize CSS Landing page
    Landing page //
    2021-10-14

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.

Materialize CSS features and specs

  • Responsive Design
    Materialize CSS provides a responsive grid system, making it easier to create layouts that work well on various screen sizes and devices.
  • Material Design
    Adheres to Google's Material Design principles, offering a modern and professional look that is consistent across web applications.
  • Component Variety
    Offers a wide range of pre-built components, including forms, buttons, cards, and navigation bars, which helps speed up development.
  • Customization
    Provides options to customize components using Sass, making it flexible for specific design needs.
  • Built-in JavaScript
    Includes built-in JavaScript components like modals, carousels, and tabs, which enhance functionality without requiring additional libraries.

Possible disadvantages of Materialize CSS

  • Learning Curve
    Although it follows Material Design guidelines, there is a learning curve associated with understanding and implementing its various components and classes.
  • File Size
    Including the full library can make your project heavier, affecting load times, especially for users on slower connections.
  • Customization Complexity
    While customizable, deeply customizing or overriding default styles can sometimes be complicated and time-consuming.
  • Dependency on jQuery
    Some components still rely on jQuery, adding to the library size and potentially conflicting with modern JavaScript practices.
  • Community Support
    Compared to larger frameworks like Bootstrap, Materialize CSS has a smaller community, which can result in fewer third-party resources and plugins.

Spark Streaming videos

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

Materialize CSS videos

Build A Travel Agency Theme With Materialize CSS 1.0.0

Category Popularity

0-100% (relative to Spark Streaming and Materialize CSS)
Stream Processing
100 100%
0% 0
Design Tools
0 0%
100% 100
Data Management
100 100%
0% 0
Developer Tools
0 0%
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 Materialize CSS

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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Materialize CSS Reviews

15 Top Bootstrap Alternatives For Frontend Developers in 2024
Material Design is a design language that combines classic principles of successful design with innovation and technology. One of the downsides of Materialize is that it does not support older versions of web browsers, and sometimes it does not handle certain nestings of components properly, resulting in an odd appearance.
Source: coursesity.com
9 Best Bootstrap Alternatives | Best Frontend Frameworks [2024]
Materialize is a modern responsive front-end framework based on the Material Design principles of Google. Material design is a design language created by Google, which combines traditional design methods with innovations and technology.
Source: hackr.io
Top 10 Best CSS Frameworks for Front-End Developers in 2022
Created by Google in 2014, Materialize is a responsive UI framework for websites and Android apps. It provides many ready-to-use components, classes, and starter templates. It is compatible with Sass and has a responsive layout based on Bootstrap’s 12-column grid format. The best part? Its extensive color palettes. So, if you want to work with Material Design (Google’s...
Source: hackr.io
15 Best CSS Frameworks: Professional Bootstrap and Foundation Alternatives
It’s specifically designed to help you develop faster using a standard template and customizable components. As the name suggests, Materialize is based on the basic principles of Material Design.
10 of the Best Bootstrap Alternatives
Materialize is a Design-inspired front-end framework that offers everything you need to create beautiful websites and apps. It includes a responsive grid system, CSS components, and animation libraries. Materialize is also easy to use and customizable, making it the perfect choice for any project. Furthermore, a single basic responsive framework across all phases minimizes...

Social recommendations and mentions

Based on our record, Materialize CSS should be more popular than Spark Streaming. It has been mentiond 26 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 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

Materialize CSS mentions (26)

  • Top 5 Best CSS Frameworks for Responsive Web Design in 2024
    Materialize is a modern CSS framework based on Google’s Material Design. It was created and designed by Google to provide a unified and consistent user interface across all its products. Materialize is focused on user experience as it integrates animations and components to provide feedback to users. - Source: dev.to / 8 months ago
  • Front-end Framework: Comparing Bootstrap, Foundation and Materialize
    Materialize was created by a team of developers at Google, inspired by the principles of Material Design. Material Design is a design language developed by Google that emphasizes tactile surfaces, realistic lighting, and bold, graphic interfaces. Materialize aims to bring these principles to web development by providing a framework with ready-to-use components and styles based on Material Design. - Source: dev.to / about 1 year ago
  • Took a web development job without much experience, am I doomed?
    If you wanna make it look nice use materialize css works great with Django templates. Source: about 2 years ago
  • Best 3 Bootstrap Alternatives
    You can also visit the Materialize website and GitHub repository which currently has garnered over 38k likes and has been forked over 4k times by developers. - Source: dev.to / about 2 years ago
  • All About Hacktober Fest 2022 You Need To Know
    This repository consists of files required to deploy a Web App or PWA created with Materialize Css. - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Spark Streaming and Materialize CSS, 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.

Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions

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

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

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

Foundation - The most advanced responsive front-end framework in the world