Software Alternatives, Accelerators & Startups

Git VS CrateIO

Compare Git VS CrateIO 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.

CrateIO logo CrateIO

The Distributed Database for Docker
  • Git Landing page
    Landing page //
    2023-08-01
  • CrateIO Landing page
    Landing page //
    2023-09-17

Git

Pricing URL
-
$ Details
Release Date
-

CrateIO

Website
crate.io
$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
California
Founder(s)
Bernd Dorn
Employees
50 - 99

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

CrateIO videos

No CrateIO videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Git and CrateIO)
Git
100 100%
0% 0
Databases
0 0%
100% 100
Code Collaboration
100 100%
0% 0
NoSQL Databases
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 Git and CrateIO

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

CrateIO Reviews

We have no reviews of CrateIO yet.
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Social recommendations and mentions

Based on our record, Git seems to be a lot more popular than CrateIO. While we know about 228 links to Git, we've tracked only 12 mentions of CrateIO. 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 (228)

  • Steps to Initialize a Shopify Web App Locally: A Comprehensive Guide
    Git: Version 2.28.0 or higher. Download from git-scm.com. - Source: dev.to / 3 days ago
  • Introduction to Git
    To learn more about git and official documentation. - Source: dev.to / 3 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 / 4 days ago
  • pyaction 4.31.0 Released
    This Docker image is designed to support implementing Github Actions With Python. As of version 4.0.0., it starts with The official python docker image as the base Which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl, Gpg, git, and the GitHub CLI. We added curl and gpg because they Are... - Source: dev.to / 5 days ago
  • Commonly Used Git Commands
    First things first, let's set up Git on your machine. If you haven't installed Git yet, you can download it from Git's official website. After installing, configure your Git with your username and email:. - Source: dev.to / 7 days ago
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CrateIO mentions (12)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    CrateDB - Distributed Open Source SQL database for real-time analytics. Free Tier CRFREE: One-node with 2 CPUs, 2 GiB of memory, 8 GiB of storage. One cluster per organization, no payment method needed. - Source: dev.to / 4 months ago
  • varpro 0.6: Fast and Simple Nonlinear Fitting
    Not necessarily argmin{}, but it appears as one of top download in crate.io. Again, that's just a suggestion. VarPar seems like a subset of bigger "optimization", but I might be wrong. I am not affiliated to argmin{} at all. I am still learning argmin{} and have not even get my first optimization to run properly. Do I want to learn new workflow again ... hmm.. A search in crate.io for "optimization" yield tons... Source: about 1 year ago
  • A good, fast hash for nucleotides triplet converted to 0, 1, 3, 2 using `3 & (nuc << 1)`
    I really, really don't understand what the big deal with Rust is. I like to call Rust "LLVM's Python". It's a language for people who don't know how to debug segfaults lol. This is coming from me a person who loves Rust, despite all its faults, I believe if used as a low-level language, it can flourish to hell and back. But if you are going to use it as a webframework and load dozens of crate.io libraries on it,... Source: about 1 year ago
  • Unable to compile rand_core
    There's 3 more errors that amount to the same thing. So I run cargo update. Same result. Explicitly tried to update cfg-if then rand_core with --verbose and --aggressive. No output beyond "updating crate.io index." Checked in browser for updates. cfg-if had no new versions since 2018. Then I tried using cargo clean first. Same result. Source: over 1 year ago
  • Stop Comparing Rust to Old C++
    However, I do say that my general points still holds: most user's composing their types will get the right defaults and if they need anything more exotic, the users and domain specialist can very easy coordinate via crate.io . Source: over 1 year ago
View more

What are some alternatives?

When comparing Git and CrateIO, 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.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

MySQL - The world's most popular open source database

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

Amazon RDS - Easy to manage relational databases optimized for total cost of ownership.