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Composer VS Apache Spark

Compare Composer VS Apache Spark and see what are their differences

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Composer logo Composer

Composer is a tool for dependency management in PHP.

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.
  • Composer Landing page
    Landing page //
    2023-09-19
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Composer videos

AI vs Human Music Composer 2019 - Orb Composer Review

More videos:

  • Review - Review Composer Cloud from EastWest / Soundsonline.com
  • Review - Behringer Composer PRO-XL MDX2600 Review (AUDIO TEST)

Apache Spark videos

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 Composer and Apache Spark)
Development Tools
100 100%
0% 0
Databases
0 0%
100% 100
Javascript UI Libraries
100 100%
0% 0
Big Data
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 Composer and Apache Spark

Composer Reviews

We have no reviews of Composer yet.
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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...
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...
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...

Social recommendations and mentions

Based on our record, Composer should be more popular than Apache Spark. It has been mentiond 127 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.

Composer mentions (127)

  • How to Send Emails with Email API: Practical Examples in Popular Languages and Frameworks
    First, install Mailtrap PHP SDK using one of the following Composer commands:. - Source: dev.to / 2 days ago
  • Creating a RESTful API with Flight Framework
    First, let's set up Flight and create our project. You can download Flight from its GitHub repository or installed via composer. Composer is generally the way to go. - Source: dev.to / 19 days ago
  • 📚 How to see what changed in Composer files
    That's because Composer stores information about all packages that should be installed in composer.lock together with some of their metadata. This helps to manage the dependencies efficiently and browse most information offline but there is currently no built-in way to compare these files when changed. - Source: dev.to / about 2 months ago
  • From Beginner to Master: The Path to Becoming a PHP Guru
    Delving into PHP frameworks like Laravel or Symfony is like building a skyscraper, with Composer acting as your "construction foreman," guiding you step by step to ensure your code is robust and awe-inspiring. This stage involves getting familiar with popular PHP frameworks such as Laravel, Symfony, CodeIgniter, etc., and utilizing the functionalities provided by these frameworks to rapidly develop efficient,... - Source: dev.to / 4 months ago
  • Routing implementation using PHP attributes
    In our example application we will manage dependencies via Composer. - Source: dev.to / 4 months ago
View more

Apache Spark mentions (58)

  • How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop
    In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 17 days ago
  • Shades of Open Source - Understanding The Many Meanings of "Open"
    In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 19 days ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 4 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 7 months ago
View more

What are some alternatives?

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

jQuery - The Write Less, Do More, JavaScript Library.

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

React Native - A framework for building native apps with React

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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

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