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jQuery VS Apache Spark

Compare jQuery VS Apache Spark and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

jQuery logo jQuery

The Write Less, Do More, JavaScript Library.

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.
  • jQuery Landing page
    Landing page //
    2023-10-22
  • Apache Spark Landing page
    Landing page //
    2021-12-31

jQuery features and specs

  • Ease of Use
    jQuery simplifies complex JavaScript tasks by providing easy-to-use methods, which can lead to shorter development times and cleaner code.
  • Cross-Browser Compatibility
    jQuery handles many browser inconsistencies, ensuring that your code works seamlessly across different browsers without additional effort.
  • Large Community and Ecosystem
    There is a vast community of developers who contribute plugins, extensions, and provide support, making it easier to find solutions and enhance functionality.
  • Animation and Effects
    jQuery offers built-in methods for creating animations and effects, allowing developers to enhance the user interface with minimal code.
  • AJAX Simplification
    The library provides straightforward methods for making AJAX calls, which simplifies the process of loading data asynchronously.
  • Documentation and Learning Resources
    Extensive documentation and a plethora of tutorials are available, making it easier for developers to learn and troubleshoot.

Possible disadvantages of jQuery

  • Performance Overhead
    Using jQuery can add overhead to your application due to its file size and additional abstraction, which can impact performance, especially in resource-constrained environments.
  • Relevance
    With the advent of modern JavaScript frameworks like React, Vue, and Angular, and the improvements in native JavaScript (ES6+), the need for jQuery has decreased, making it less relevant in contemporary web development.
  • Learning Curve for Advanced Features
    While basic usage is straightforward, mastering more advanced topics and optimizing performance can be challenging for newcomers.
  • Potential for Overuse
    Developers might rely too heavily on jQuery for tasks that can be efficiently handled by native JavaScript, leading to bloated codebases.
  • Maintenance and Legacy Code
    Projects heavily reliant on jQuery may face maintenance challenges as modern frameworks and practices evolve, requiring significant refactoring effort if transitioning away from jQuery.
  • Security
    Older jQuery versions have known security vulnerabilities, and continuing to use outdated versions can pose security risks. Regular updates are necessary to mitigate this issue.

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.

jQuery videos

+ Add

Quick jQuery Review

More videos:

  • Review - jQuery vs Vue, React and Angular
  • Review - Front-End Development, HTML & CSS, Javascript & jQuery by Jon Duckett | Book Review
  • Review - The Legend of jQuery in 100 Seconds
  • Review - ⭕The one book I regret not having as a beginning web developer || Jon Duckett JavaScript & jQuery

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 jQuery and Apache Spark)

jQuery

Apache Spark

Development Tools
100 100%
Development Tools
0% 0
Databases
0 0%
Databases
100% 100
Javascript UI Libraries
100 100%
Javascript UI Libraries
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 jQuery and Apache Spark

jQuery Reviews

Top 20 Javascript Libraries
jQuery dramatically simplifies JS programming and is easy to learn and use. It is highly extensible and makes web pages load faster. jQuery wraps up a lot of standard functions making the job of the developer easy. A JS code of several lines could be just a method to be called in jQuery. It also has many plugins to perform different tasks. Some of the features of jQuery are...
Source: hackr.io
Top 15 jQuery Alternatives To Know
The world is full of newer technologies and there are alternatives available for all of them. jQuery is no different. The above-mentioned technologies can be a good alternative to jQuery though jQuery itself has a loyal user base of its own. Overall, it depends upon the organizational skills, requirements, budget, and objective, based on which stakeholders can take a call on...
Source: www.spec-india.com
Best Javascript libraries to use in 2021
jQuery has been in the development scene for a long time and has been the unprecedented king for webpage dev. It is one of the most common libraries used throughout the world, with more than 50% of websites using jQuery for their functioning. jQuery is a library used majorly for Document Object Model (DOM) manipulation. The DOM is a tree-like structure that represents all...
Source: codersera.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

jQuery might be a bit more popular than Apache Spark. We know about 101 links to it since March 2021 and only 70 links to 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.

jQuery mentions (101)

  • This One jQuery Mistake Froze Our Web Page! Here's the Fix You Need to Know
    Whenever the number of items increased, the browser became slow, sometimes even unresponsive. At first, we thought it was a server issue or maybe too much data. But no — the problem was hiding inside a small line of jQuery. - Source: dev.to / 24 days ago
  • Is jQuery Dead?
    Ah, jQuery — the library that powered a generation of web apps. - Source: dev.to / about 1 month ago
  • Understanding Awaitables: Coroutines, Tasks, and Futures in Python
    Then we have callbacks, which were popularized by AJAX calls. Back then, with jQuery, we could define handlers to deal with both success or failure cases. For instance, let's say we want to fetch the HTML markup of this blog (skipping error failure callback for brevity), we do. - Source: dev.to / about 2 months ago
  • the entire history of JavaScript, i guess
    One of them is JQuery created by John Resig. The library addresses extremely-frustrating issues related to cross-browser compatibility that existed at the time. To this day, it remains the most widely used JavaScript library in terms of actual page loads. - Source: dev.to / 4 months ago
  • Let Me Talk About Component-based Front-end Development
    The once popular jQuery, with its strengths fully utilized in jQuery UI and Bootstrap, provides many UI components and is also friendly to backend developers, seemingly meeting the requirements. However, looking at their component implementation and resource loading forms—. - Source: dev.to / 4 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 / 22 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 / 24 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 jQuery and Apache Spark, you can also consider the following products

React Native - A framework for building native apps with React

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

Babel - Babel is a compiler for writing next generation JavaScript.

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

OpenSSL - OpenSSL is a free and open source software cryptography library that implements both the Secure Sockets Layer (SSL) and the Transport Layer Security (TLS) protocols, which are primarily used to provide secure communications between web browsers and …

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

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