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Apache Spark VS Next.js

Compare Apache Spark VS Next.js and see what are their differences

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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.

Next.js logo Next.js

A small framework for server-rendered universal JavaScript apps
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Next.js Landing page
    Landing page //
    2023-06-19

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.

Next.js features and specs

  • Server-Side Rendering (SSR)
    Next.js supports SSR, allowing pages to be rendered on the server-side before being sent to the client. This results in improved SEO and faster initial page loads.
  • Static Site Generation (SSG)
    Enables pre-rendering pages at build time, which can further improve performance and scalability while allowing for dynamic generation when needed.
  • API Routes
    Next.js allows you to build API endpoints directly in the application, simplifying the process of creating back-end services and endpoints.
  • File-Based Routing
    Offers a simple file-based routing mechanism where the file structure maps directly to the app’s routes, making it easier to manage and understand.
  • Automatic Code Splitting
    Automatically splits code at the page level, reducing the initial load time and improving performance by only loading necessary JavaScript.
  • TypeScript Support
    Built-in support for TypeScript, allowing developers to use static type checking and other TypeScript features easily.
  • Developer Experience
    Provides a great developer experience with features like fast refresh, hot reloading, and detailed error reporting.
  • Rich Ecosystem
    Benefiting from the rich ecosystem of the React community and integrating well with other libraries and tools.
  • Internationalization
    Built-in support for internationalization helps developers build multilingual applications with ease.
  • Community and Support
    Strong community and extensive documentation provide ample support and resources for new and experienced developers alike.

Possible disadvantages of Next.js

  • Learning Curve
    The robust feature set of Next.js can present a steep learning curve for developers who are new to React or server-side rendering concepts.
  • Configuration Overhead
    Although Next.js aims for simplicity, complex projects may still require significant configuration and customization.
  • Performance Overhead
    SSR can introduce additional server load and latency compared to static site generators, especially under high traffic conditions.
  • Deployment Complexity
    Deploying Next.js applications that leverage SSR or API routes may be more complex and could require more sophisticated server infrastructure.
  • Vendor Lock-In
    If heavily relying on Next.js-specific features, moving away from the framework to another solution could require significant refactoring.
  • Bundle Size
    Without careful optimization, client-side bundle sizes can become large, negatively affecting the application’s performance.
  • Build Times
    For large applications, build times can be significant, impacting the development cycle and deployment times.
  • Dependencies
    Next.js introduces its own set of dependencies and tooling, which might complicate version management and compatibility with other tools.

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

Next.js videos

+ Add

Next.js: The React Framework - JS Monthly - July 2019

More videos:

  • Review - Gatsby vs Next.js: Which does SSG Better?

Category Popularity

0-100% (relative to Apache Spark and Next.js)

Apache Spark

Next.js

Databases
100 100%
Databases
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Big Data
100 100%
Big Data
0% 0
Web Frameworks
0 0%
Web Frameworks
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 Apache Spark and Next.js

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

Next.js Reviews

Top 10 Next.js Alternatives You Can Try
Next.js is a well-known platform most of you utilize to build a responsive website. However, if you are annoyed by its limited features, consider Next.js alternatives because flexibility and faster loading speed are always the top concerns of every developer. For this reason, you might need to read this article to explore the top 10 Nextjs Alternatives for the exciting world...
Source: www.zegocloud.com
20 Next.js Alternatives Worth Considering
When it comes to building modern web applications, finding the right framework can be a game-changer. Next.js is often a top choice, but there are several Next.js alternatives worth considering.
Source: tms-outsource.com
10 Best Next.js Alternatives to Consider Today
For those who have been accustomed to the benefits of React Next.js, keeping an eye on the latest version is crucial. Next.js's continuous improvement and updates in Next.js enhance its capabilities, ensuring developers can access cutting-edge features and optimizations. Whether starting a new project or maintaining an existing Next.js website, staying informed about the...
Source: www.saffrontech.net
9 Best JavaScript Frameworks to Use in 2023
Next.js uses JavaScript and React components to create the UI. Next.js is influenced by React Router, Webpack, Node ecosystem, and community libraries. The feature that sets Next.js apart from other frameworks is its ability to automatically generate pages based on the file system structure of the project. For example, if there is a _posts folder in the root directory,...
Source: ninetailed.io
JavaScript: What Are The Most Used Frameworks For This Language?
Some of its top features include server-side rendering, automatic code splitting, client-side routing, built-in CSS support, static site generation and API routes. Overall, Next.JS is a powerful and flexible framework that provides developers with a simple and intuitive way to build complex React applications with ease. It is widely used in the React community and has a...
Source: www.bocasay.com

Social recommendations and mentions

Based on our record, Next.js seems to be a lot more popular than Apache Spark. While we know about 1071 links to Next.js, 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.

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 / 28 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

Next.js mentions (1071)

  • Angular: Beyond the fog #1
    My only true recommendation would be to prefer React for mobile or SSR applications, as community projects (Expo for mobile and Next.js for SSR) are more mature and easier to set up. - Source: dev.to / 6 days ago
  • Generate Git action CI/CD pipeline using Amazon Q CLI
    This is a Next.js project bootstrapped with create-next-app. - Source: dev.to / 8 days ago
  • Build an Inventory Management System Using MongoDB Atlas
    We will walk you through the process of configuring and using MongoDB Atlas as your back end for your Next.js app, a powerful framework for building modern web applications with React. - Source: dev.to / about 1 month ago
  • What I learned building my first AI Agent – Part 1
    After refining the user interface and doing some tests, I had a minimal functional AI agent capable of answering questions about Figma features . Since I was using Next.js, I decided to host my app on Vercel, since it was the platform that provided me the easiest and most intuitive way to do it. I was very happy with the result, even though the application was simple, in just a few days I managed to learn about... - Source: dev.to / 13 days ago
  • We Fell Out of Love with Next.js and Back in Love with Ruby on Rails
    3. Load personalized data (json) But usually step 1 and 2 are served from a cdn, so very fast. On subsequent requests, 1 and 2 are usually served from the browser cache, so extremely fast. SSR is usually not faster. Most often slower. You can check yourself in your browser dev tools (network tab): https://www.solidjs.com/ vs. https://nextjs.org/ So much complexity and effort in the nextjs app, but so much slower. - Source: Hacker News / 16 days ago
View more

What are some alternatives?

When comparing Apache Spark and Next.js, you can also consider the following products

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

Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.

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.

Nuxt.js - Nuxt.js presets all the configuration needed to make your development of a Vue.js application enjoyable. It's a perfect static site generator.

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