Software Alternatives, Accelerators & Startups

GitHub VS Apache Spark

Compare GitHub VS Apache Spark and see what are their differences

GitHub logo GitHub

Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

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.
  • GitHub Landing page
    Landing page //
    2023-10-05
  • Apache Spark Landing page
    Landing page //
    2021-12-31

GitHub

Website
github.com
$ Details
Release Date
2008 January
Startup details
Country
United States
State
California
Founder(s)
Chris Wanstrath
Employees
500 - 999

GitHub videos

How to do coding peer reviews with Github

More videos:

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 GitHub and Apache Spark)
Software Development
100 100%
0% 0
Databases
0 0%
100% 100
Code Collaboration
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 GitHub and Apache Spark

GitHub Reviews

  1. perfect 4 open Source

The Top 10 GitHub Alternatives
However, like any (human) product, the platform has its limits, downsides, and critics. GitHub has been barred by certain governments, and even if that isn’t exactly the company’s fault, the users are the ones limited from pushing their code. Another criticism concerns the price tag: some users have pointed out that GitHub’s pricing model is too inflexible. Moreover, some...
Top 7 GitHub Alternatives You Should Know (2024)
FAQs: Are there any cloud source repositories similar to GitHub?Is there a free alternative to GitHub?
Source: snappify.com
Best GitHub Alternatives for Developers in 2023
We may earn from vendors via affiliate links or sponsorships. This might affect product placement on our site, but not the content of our reviews. See our Terms of Use for details. Looking for an alternative to GitHub? Check out our in-depth list of the best GitHub competitors, covering their features, pricing, pros, cons, and more.
Let's Make Sure Github Doesn't Become the only Option
In GitHub’s early days, picking a single version control system could have legitimately been a way to focus the product. GitHub is big enough now that they could dedicate some time toward exploring other tools. But it’s not really GitHub’s job to do this. GitHub’s job is to make Microsoft money. Features that improve the lives of developers are incidental.
8 Best Replit Alternatives & Competitors in 2022 (Free & Paid) - Software Discover
Github is where over 73 million developers shape the future of software, together. Contribute to the open source community, manage your git repositories, review code like a pro, track bugs and features, power your CI/CD and DevOps workflows, and secure code before you commit it. Github: Where the world builds software · github.

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, GitHub seems to be a lot more popular than Apache Spark. While we know about 2071 links to GitHub, we've tracked only 57 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.

GitHub mentions (2071)

  • How to create an npm package + CI/CD in 10 minutes
    Have an github account, if not create one https://github.com. - Source: dev.to / 4 days ago
  • Why Docs-as-Code is the Key to Better Software Documentation
    Git for version control and GitHub for storing remote versions of the repository. - Source: dev.to / 6 days ago
  • Kubernetes: Hello World
    Image Registry Account: Sign up for an account on GitHub, DockerHub, or any other container image registry. You'll use this account to store and manage your container images. - Source: dev.to / 7 days ago
  • Ask HN: Why my post labled FLAGGED and how to prevent it?
    I think it would be more reasonable to judge whether it is promotion according to its content, quality, purpose, instead of domain name. I totally agree one should get flagged if one posts the same product or application for the same use case again and again. But in my situation, they are different tools for different use cases. I don't think this demo would get flagged if it was uploaded and presented in the... - Source: Hacker News / 7 days ago
  • Next Generation SQL Injection: Github Actions Edition
    Steps: - name: Generate summary run: | echo "Pull Request for [${{ github.event.pull_request.title }}](https://github.com/${{ github.repository }}/pull/${{ github.event.pull_request.number }}) has been updated 🎉" >> $GITHUB_STEP_SUMMARY echo "Image tagged **v${{ needs.determine_app_version.outputs.app_version }}** has been built and pushed to the registry." >> $GITHUB_STEP_SUMMARY This will... - Source: dev.to / 8 days ago
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Apache Spark mentions (57)

  • 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 / about 7 hours 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 / 3 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 / 6 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 / 6 months ago
View more

What are some alternatives?

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

GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab

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

BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.

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

Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft

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