Software Alternatives, Accelerators & Startups

Git VS Databricks

Compare Git VS Databricks and see what are their differences

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.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Git Landing page
    Landing page //
    2023-08-01
  • Databricks Landing page
    Landing page //
    2023-09-14

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

Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to Git and Databricks)
Git
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Code Collaboration
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using Git and Databricks. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Git and Databricks

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

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.

Social recommendations and mentions

Based on our record, Git seems to be a lot more popular than Databricks. While we know about 233 links to Git, we've tracked only 17 mentions of Databricks. 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.

Git mentions (233)

  • A Git story: Not so fun this time
    The git repo is on kernel.org nowadays with mirrors on repo.or.cz and GitHub. But I think they mean here what the official git project ‘site’ is with docs and so on. And that is now https://git-scm.com/ and indeed as the article describes that was initially set up by GitHub people, to promote git. - Source: Hacker News / 6 days ago
  • Must-Have Tools for Frontend Developers
    Git is a distributed version control system that has become a standard tool in modern development practices. - Source: dev.to / 11 days ago
  • How to Build and Manage a High-Performing Software Development Team?
    Git is the backbone for version control in our software development team. It allows us to track changes, revert to previous states, and efficiently manage multiple versions of project code. This tool is essential not only for its core functionality but also for supporting collaborative workflows among distributed team members. - Source: dev.to / 11 days ago
  • Mastering Git: Essential Commands, Workflows, and Their Uses Explained
    Before diving into the commands, ensure Git is installed on your machine. You can download it from the official Git website. - Source: dev.to / 15 days ago
  • Mastering Version Control with Git: Beyond the Basics
    Official Git Documentation: https://git-scm.com/ - The definitive source for all things Git, with in-depth explanations, commands, and tutorials. Interactive Git Training: https://learngitbranching.js.org/ - A hands-on platform to learn Git fundamentals and experiment with branching and merging in a simulated environment. Git SCM Blog: https://git-scm.com/ - Stay updated on the latest Git developments, news, and... - Source: dev.to / 24 days ago
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Databricks mentions (17)

  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
  • data science workspace/notebook solution thoughts?
    I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
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What are some alternatives?

When comparing Git and Databricks, you can also consider the following products

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.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.