Software Alternatives, Accelerators & Startups

npm VS Apache Spark

Compare npm VS Apache Spark and see what are their differences

npm logo npm

npm is a package manager for Node.

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.
  • npm Landing page
    Landing page //
    2023-10-03
  • Apache Spark Landing page
    Landing page //
    2021-12-31

npm videos

Artis bus NPM Mr marcha sopir ny ramah,Review detail bus baru yang berangkat dari Payakumbuh~Jakarta

More videos:

  • Review - Review bus baru NPM,, V15 Mr marcha ft kru kece,, berangkat Payakumbuh menuju Jakarta
  • Review - Analysis of an Exploited NPM Package || Jarrod Overson

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 npm and Apache Spark)
Front End Package Manager
Databases
0 0%
100% 100
JS Build Tools
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 npm and Apache Spark

npm Reviews

Repository Management Tools
There are three components to npm, they are the website, registry and the cli. The npm website is the place where developers discover packages, set up their profiles and also manage the other aspects of npm. The npm registry is the huge database that contains all the dependencies and stuff whereas the npm cli is the one that is used by most of the developers to interact with...
Source: mindmajix.com
What is Artifactory?
All packages are organized so that you can keep track of all of the dependencies and their various versions. The registry, website, and command-line interface, or CLI, are the three components of npm. The npm website is where developers can find packages, create profiles, and manage other elements of the npm project. The npm registry is an extensive database that holds all...

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

npm might be a bit more popular than Apache Spark. We know about 61 links to it since March 2021 and only 56 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.

npm mentions (61)

  • A step-by-step guide on how to create and publish and npm package
    To begin, you will need to choose a name for your package. Note: Your package name must be unique. Using the exact or similar name of an existing package will return an error when publishing the package to npm. To ensure the uniquenesses of your package name, head over to npmjs.com and search for any existing packages with a similar name. If there’s an exact match or a similar name, consider changing the name... - Source: dev.to / 25 days ago
  • Caching RESTful API requests with Heroku’s Redis Add-on
    By using Fastify, you can quickly get a Node.js application up and running to handle requests. Assuming you have Node.js installed, you’ll start by initializing a new project. We’ll use npm as our package manager. - Source: dev.to / 28 days ago
  • 6 Tools To Help Keep Your Dependencies And Code More Secure
    It is on this last topic that I want to focus on in this post, and then in particular, how to make working with dependencies a bit safer within the NPM ecosystem. - Source: dev.to / 2 months ago
  • React Fundamentals part 2: Basic view on React core API's
    In modern applications you'll get React and React DOM files from a "package registry" like npm (react and react-dom). - Source: dev.to / 3 months ago
  • alacritty-themes not working any more!!!
    Install the alacritty-themes package globally with npm. - Source: dev.to / 4 months ago
View more

Apache Spark mentions (56)

  • 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 / 2 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 / 4 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 / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

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

Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.

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

Yarn - Yarn is a package manager for your code.

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

Brunch - Brunch builds, lints, compiles, concatenates and shrinks your HTML5 app in an ultra-simple way. No more Grunt / Gulp mess.

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