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Tailwind CSS VS Apache Spark

Compare Tailwind CSS VS Apache Spark and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Tailwind CSS logo Tailwind CSS

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

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.
  • Tailwind CSS Landing page
    Landing page //
    2023-05-13
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Tailwind CSS features and specs

  • Utility-First Approach
    Tailwind CSS uses a utility-first approach, promoting the use of small, reusable utility classes to style elements directly in your markup. This can lead to more readable and maintainable HTML.
  • Customization
    The framework is highly customizable. You can easily configure its default theme, add your extensions, and create custom utilities. Tailwind’s config file allows for deep customization of all aspects of the framework.
  • Consistent Design
    Using utility classes ensures design consistency because the same classes will apply the same styles globally.
  • Responsive Design
    Tailwind CSS has excellent built-in support for responsive design. You can easily apply different styles for different screen sizes using responsive utility variants.
  • Performance
    Tailwind purges unused CSS in production, resulting in smaller final output files and improved performance.
  • Integrates Well with Frameworks
    Tailwind CSS integrates smoothly with modern JavaScript frameworks like React, Vue, and Angular.
  • JIT Compiler
    The Just-in-Time (JIT) mode in Tailwind CSS generates styles on-demand, reducing the development build sizes and speeding up the development process.

Possible disadvantages of Tailwind CSS

  • Steep Learning Curve
    For developers coming from traditional CSS or other CSS frameworks, getting used to Tailwind's utility-first approach may take some time.
  • HTML Congestion
    Due to the utility-first approach, HTML files can get filled with numerous utility classes, making it look cluttered and harder to read.
  • Initial Setup
    Setting up Tailwind CSS initially can be complex, especially for beginners. Configuration settings and integrations with build tools can be confusing.
  • Verbosity
    Some developers find the inline utility classes verbose, particularly when complex styles are required, which can lead to bloated template files.
  • Limited Abstractions
    Tailwind doesn't provide higher-level abstractions such as components out of the box, like other frameworks (e.g., Bootstrap) do. Developers need to build and maintain these abstractions themselves.
  • Dependency Tailoring
    While Tailwind aims to be minimalistic, it may enforce some dependencies or build tool integrations that could be unnecessary for very simple projects.

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.

Tailwind CSS videos

+ Add

Why I Don't Like Tailwind CSS

More videos:

  • Review - Vanilla CSS vs Bootstrap vs Tailwind CSS - Which one should you choose?
  • Review - Get Started with Tailwind CSS in 15 Minutes

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

Category Popularity

0-100% (relative to Tailwind CSS and Apache Spark)

Tailwind CSS

Apache Spark

Developer Tools
100 100%
Developer Tools
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Databases
0 0%
Databases
100% 100
Design Tools
100 100%
Design Tools
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Tailwind CSS and Apache Spark. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Tailwind CSS and Apache Spark

Tailwind CSS Reviews

  1. pat0rick
    Awesome framework

    I use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.

22 Best Bootstrap Alternatives & What Each Is Best For
Tailwind CSS comes with features such as responsive design, customizability, hover, focus, and active states out of the box. These enable developers to build sophisticated, interactive interfaces with ease. When it comes to integrations, Tailwind CSS can be integrated with popular front-end frameworks like React, Vue, and Angular, enhancing its utility across different...
Source: thectoclub.com
15 Top Bootstrap Alternatives For Frontend Developers in 2024
If you want to learn the valuable skill of Tailwind CSS, we highly recommend taking the "Tailwind CSS From Scratch" course by Brad Traversy on Udemy. In this introductory course, you will build great-looking layouts quickly and efficiently using Tailwind CSS utility classes.
Source: coursesity.com
10 Best Free React UI Libraries in 2023
TailwindCSS is a utility-first CSS framework designed to build modern and beautiful websites in no time. Here, utility class names define what to do. Each utility class comes with pre-defined CSS properties.
Source: www.wearedevelopers.com
11 Best Material UI Alternatives
Tailwind CSS promotes a modular approach to styling, where devs can combine classes to create unique and responsive designs. It offers utilities for layout, typography, colors, spacing, and more, allowing developers to create consistent and visually appealing interfaces with minimal effort.
Source: www.uxpin.com
Top 10 Best CSS Frameworks for Front-End Developers in 2022
Tailwind enables faster development of the front-end. Instead of a default theme or built-in UI components, you’d get pre-designed widget menus and utility classes to build your website. Tailwind has modular components, and if you make changes in one place, other parts of your code won’t get impacted. Tailwind requires the least amount of learning and is easy to use. You can...
Source: hackr.io

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

Social recommendations and mentions

Based on our record, Tailwind CSS seems to be a lot more popular than Apache Spark. While we know about 1013 links to Tailwind CSS, we've tracked only 70 mentions of Apache Spark. 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.

Tailwind CSS mentions (1013)

  • Top 5 Free React UI Libraries to Use in 2025
    Shadcn/ui contains a set of beautifully designed and accessible components, and it works seamlessly with major React frameworks. It’s open-source and has amassed 85.5k (and counting) GitHub stars. It’s built on the shoulders of giants — Radix UI and Tailwind CSS, making it one of the best to work with. Unlike many other UI libraries, the components are not just installed as npm modules, they’re downloaded into... - Source: dev.to / 18 days ago
  • Tailwind vs Linaria: Performance Investigation
    We're going to investigate the difference in performance between Tailwind and Linaria. Tailwind, you already know. And Linaria has been getting quite a lot of traction since styled components went into maintenance mode recently. We'll cover why Linaria is a good choice for this comparison a bit further. - Source: dev.to / 24 days ago
  • How to Integrate Tailwind with 11ty – With Code Examples
    It is a well-known fact that Tailwind CSS is a utility-first CSS framework. It lets you style elements directly within your HTML, thanks to pre-defined classes. Unlike other CSS frameworks that offer pre-built components, Tailwind offers these low-level utility classes that let you create your own design system. Thus, this makes crafting unique responsive designs effortless as there is not much to do with custom CSS. - Source: dev.to / about 1 month ago
  • 🎨 Smooth UI Transitions in HTML with Grains.js, TailwindCSS and g-class directive
    Note: It's best to utilize TailwindCSS to use ready-made styles via their classes. g-class directive has nothing to do with TailwindCSS, however. It only switches class names based on state. After that, you can use whatever you want. - Source: dev.to / about 1 month ago
  • ## Vibe Coding Adventures: Day 1 — HealthLens AI
    By having the AI building the skeleton of the project, I learn few things. First, this tool is fantastic for building impressive frontend applications with clean, well-structured Tailwind CSS styling. - Source: dev.to / about 2 months ago
View more

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 / 26 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 / 27 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

What are some alternatives?

When comparing Tailwind CSS and Apache Spark, you can also consider the following products

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

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

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.

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

React - A JavaScript library for building user interfaces

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

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