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Svelte VS Apache Spark

Compare Svelte VS Apache Spark and see what are their differences

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Svelte logo Svelte

Cybernetically enhanced web apps

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.
  • Svelte Landing page
    Landing page //
    2023-07-27

We recommend LibHunt Svelte for discovery and comparisons of trending Svelte projects.

  • Apache Spark Landing page
    Landing page //
    2021-12-31

Svelte features and specs

  • Performance
    Svelte shifts much of the work from runtime to compile time, resulting in faster and more efficient web applications. By compiling components to highly optimized vanilla JavaScript, it reduces the overhead and boosts performance.
  • File Size
    Due to its compile-time nature, Svelte produces smaller bundle sizes compared to other frontend frameworks like React or Angular, which can significantly improve load times and performance.
  • Simplicity
    The framework is designed to be more accessible and easier to understand. Svelte’s syntax is clean and straightforward, allowing developers to get up and running quickly with minimal boilerplate.
  • Reactivity
    Svelte provides a simple and intuitive way to handle reactivity by using built-in language constructs like assignments. This means no complicated state management libraries are necessary for many use cases.
  • Less Boilerplate
    Svelte reduces the boilerplate code typically required in other frameworks, resulting in a cleaner and more maintainable codebase. This can help accelerate development and reduce bugs.
  • Reactive Programming
    SvelteKit leverages Svelte's reactive programming model, allowing developers to write less code while achieving better functionality through automatic reactivity.
  • Integrated Router
    SvelteKit includes a built-in router, which simplifies the creation of multi-page applications and enables easy setup of dynamic routes.
  • SSR and SSG
    SvelteKit supports Server-Side Rendering (SSR) and Static Site Generation (SSG) out of the box, giving developers flexibility in how they build and deploy their applications.
  • Opinionated but Flexible
    While SvelteKit provides an opinionated setup to streamline the development process, it also allows for customization to fit a developer’s specific needs.

Possible disadvantages of Svelte

  • Ecosystem Maturity
    Svelte’s ecosystem is not as mature or extensive as React’s or Angular’s. There are fewer third-party libraries, tools, and resources available, which might make it more challenging to find solutions for less common problems.
  • Learning Curve
    While Svelte itself is simpler, its approach is quite different from traditional frameworks like React and Angular. This can require a mental shift and time to learn new paradigms, especially for developers coming from those backgrounds.
  • Community Support
    Given that Svelte has a smaller user base and community compared to more established frameworks, finding community support, tutorials, and best practices can sometimes be more difficult.
  • Tooling
    While Svelte has good official tooling and support, it may lack some of the advanced tools and integrations available for other frameworks, which can slow down development for more complex applications.
  • SEO and SSR
    Although Svelte has options for server-side rendering (SSR) and improving SEO, handling these aspects is not as out-of-the-box or mature compared to frameworks like Next.js for React.
  • Community Size
    SvelteKit has a smaller community compared to other frameworks, which can affect the availability of online resources, tutorials, and community-driven support.
  • Tooling and Integration
    Some commonly used development tools and integrations may not be fully compatible with SvelteKit, necessitating workarounds or additional configuration.
  • Frequent Updates
    As a newer framework, SvelteKit undergoes frequent updates and changes, which can sometimes lead to breaking changes or require developers to frequently update their knowledge and projects.
  • Market Adoption
    SvelteKit is less adopted in the industry compared to other frameworks, which might make it a less attractive option for companies looking for widely recognized and vetted solutions.

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.

Svelte videos

+ Add

Svelte vs React vs Angular vs Vue

More videos:

  • Review - SvelteKit Breaking Changes 2022 - My Reactions and What You Need to Know!
  • Tutorial - SvelteKit Crash Course Tutorial #1 - What is SvelteKit?
  • Review - Why Svelte is the best JS "framework"
  • Review - Oh crap, here comes *another* JavaScript framework || SVELTE || Sveltejs

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 Svelte and Apache Spark)

Svelte

Apache Spark

Javascript UI Libraries
100 100%
Javascript UI Libraries
0% 0
Databases
0 0%
Databases
100% 100
JavaScript Framework
100 100%
JavaScript Framework
0% 0
Big Data
0 0%
Big Data
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 Svelte and Apache Spark

Svelte Reviews

Top JavaScript Frameworks in 2025
SvelteJS is a modern JavaScript framework that is useful for building static web apps that are fast, lean, and fun. You can use Svelte to build single, reusable components and large or even small-scale projects. Svelte has started gaining attention because of its ability to produce smaller code bundles that run faster in web browsers.
Source: solguruz.com
Top 10 Next.js Alternatives You Can Try
This web development framework can help you perform the easiest tasks to develop the interface components that users can interact with within their browsers, such as the comment section. Moreover, it has SvelteKit to render the components of the entire page with best practices and developments. You can utilize this platform effortlessly to add basic functionalities and...
Source: www.zegocloud.com
20 Next.js Alternatives Worth Considering
Cruise into the Svelte ecosystem with Sapper, a framework that takes all the brilliance of Svelte and dials it up for app building. It’s like Svelte’s outgoing cousin, optimizing for an even smoother ride from development to go-live.
Source: tms-outsource.com
10 Best Next.js Alternatives to Consider Today
SvelteKit, the official framework for Svelte, streamlines the development of Svelte applications. With an intuitive API, SvelteKit simplifies the creation of server-side rendered (SSR) and statically generated (SSG) applications while retaining the reactive nature that makes Svelte unique. If you're seeking a framework that marries simplicity with powerful capabilities,...
Source: www.saffrontech.net
The 20 Best Laravel Alternatives for Web Development
The next of these Laravel alternatives is Svelte. It cuts through the complexity, snipping off any excess, pre-compiling its magic to keep your app lightweight without shedding any muscle. The end result? Lightning strikes in web performance.
Source: tms-outsource.com

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, Svelte should be more popular than Apache Spark. It has been mentiond 389 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.

Svelte mentions (389)

  • Plain Vanilla Web – Guide for de-frameworking yourself
    In theory, “de-frameworking yourself” is cool, but in practice, it’ll just lead to you building what effectively is your own ad hoc less battle-tested, probably less secure, and likely less performant de facto framework. I’m not convinced it’s worth it. If you want something à la KISS[0][0], just use Svelte/SvelteKit[1][1]. Nowadays, the primary exception I see to my point here is if your goal is to better... - Source: Hacker News / 5 days ago
  • Why I’m Learning Vue.js After Six Years in React
    When I teased this series on LinkedIn, one comment quipped that Vue’s been around since 2014—“you should’ve learned it by now!”—and they’re not wrong. The JS ecosystem churns out UI libraries like Svelte, Solid, RxJS, and more, each pushing reactivity forward. React’s ubiquity made it my go-to for stability and career momentum. Now I’m ready to revisit new patterns and sharpen my tool-belt. - Source: dev.to / 7 days ago
  • Hyper – Outperform React on every metric
    What is the advantage over Svelte (https://svelte.dev/)? Especially since Svelte is already established and has an ecosystem. - Source: Hacker News / 11 days ago
  • SVQK - A Web Application Development Platform Using Svelte + Quarkus
    At Project Au Lait, we are developing and publishing an open-source asset called SVQK, which combines Svelte (Frontend) and Quarkus (Backend) for web application development. The asset includes automated testing tools and source code generation tools. This article introduces an overview of SVQK. (For instructions on how to use SVQK, refer to the Quick Start.). - Source: dev.to / 25 days ago
  • Why Svelte Might Be the Best Framework You Haven't Tried Yet 🚀
    Embrace the Ecosystem: Explore tools like SvelteKit for full-fledged app development. - Source: dev.to / 3 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 / 24 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 / 26 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 Svelte and Apache Spark, you can also consider the following products

React - A JavaScript library for building user interfaces

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

Vue.js - Reactive Components for Modern Web Interfaces

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

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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