Software Alternatives & Reviews

Apache Spark VS Git

Compare Apache Spark VS Git and see what are their differences

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.

Git logo Git

Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Git Landing page
    Landing page //
    2023-08-01

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

Git videos

Full Git Tutorial (Part 6) - Pull Requests & Code Reviews

More videos:

  • Review - Learn Git In 15 Minutes
  • Tutorial - How to Review a Pull Request in GitHub the RIGHT Way

Category Popularity

0-100% (relative to Apache Spark and Git)
Databases
100 100%
0% 0
Git
0 0%
100% 100
Big Data
100 100%
0% 0
Code Collaboration
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 Apache Spark and Git

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...

Git Reviews

Boost Development Productivity With These 14 Git Clients for Windows and Mac
GitUp is the open-source solution for a git repository and IDE interaction on macOS computers. The tool is based on a generic Git toolkit known as the GitUpKit. This toolkit is reusable, and hence you can build your own Git app based on GitUpKit.
Source: geekflare.com

Social recommendations and mentions

Based on our record, Git should be more popular than Apache Spark. It has been mentiond 214 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.

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 / 3 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

Git mentions (214)

  • Concluding OSD700
    In that course, we learned about the basics of open source, like how to make good PRs and contribute to random open-source projects, and how to use Git effectively in the process. We participated in events like Hacktoberfest that helped us embrace the spirit of open source. - Source: dev.to / 15 days ago
  • The power of the CLI with Golang and Cobra CLI
    Today we are going to see all the power that a CLI (Command line interface) can bring to development, a CLI can help us perform tasks more effectively and lightly through commands via terminal, without needing an interface. For example, git and Docker, we practically use their CLI all the time, when we execute a git commit -m "commit message" or docker ps -a we are using a CLI. I'm going to leave an article that... - Source: dev.to / 29 days ago
  • Simplest Guide to DIY Your Own LLM Toy in 2024
    Git (required): Version control is essential for managing your project's codebase. I use it for managing the Folo server codebase. - Source: dev.to / about 1 month ago
  • Client side Git hooks 101
    Git hooks are simple yet powerful, essentially just scripts executed when certain events like commit or push occur. Most notably, they are really useful for enforcing code and commit quality. However, there's one problem: Since the hook scripts are stored inside the .git/ directory, they cannot be committed to the repository and shared with other developers as is. Let's see what we can do about this. - Source: dev.to / about 1 month ago
  • How to Create a New Project and Push to GitHub from your Local Machine
    Install Git: If you haven't already, download and install Git on your local machine. You can get it from the official Git website: https://git-scm.com/. - Source: dev.to / about 1 month ago
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What are some alternatives?

When comparing Apache Spark and Git, 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.

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

Mercurial SCM - Mercurial is a free, distributed source control management tool.

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

Cryptlex - Cryptlex is an IT Management software, designed to help you maximize the revenue potential of your software by protecting you against software piracy.