Software Alternatives, Accelerators & Startups

Google Cloud Dataproc VS GitLab

Compare Google Cloud Dataproc VS GitLab and see what are their differences

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

GitLab logo GitLab

Create, review and deploy code together with GitLab open source git repo management software | GitLab
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • GitLab Landing page
    Landing page //
    2023-10-17

GitLab

Release Date
2014 January
Startup details
Country
United States
State
California
Founder(s)
Dmitriy Zaporozhets
Employees
1,000 - 1,999

Google Cloud Dataproc videos

Dataproc

GitLab videos

Introduction to GitLab Workflow

More videos:

  • Review - GitLab Review App Working Session

Category Popularity

0-100% (relative to Google Cloud Dataproc and GitLab)
Data Dashboard
100 100%
0% 0
Code Collaboration
0 0%
100% 100
Big Data
100 100%
0% 0
Git
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 Google Cloud Dataproc and GitLab

Google Cloud Dataproc Reviews

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GitLab Reviews

  1. perfect for Freelancers!

The Top 10 GitHub Alternatives
GitLab is a web-based DevSecOps (take that, Call of Duty) platform that allows software development teams to plan, build, and ship secure code all in one application. GitLab offers a range of features and tools to support the entire software development lifecycle, from project planning and source code management to continuous integration, delivery, and deployment.
The Best Alternatives to Jenkins for Developers
CI/CD GitLab, as a complete DevOps platform, provides an integrated CI/CD solution along with its other features. If your team is already using GitLab for controlling versions and managing projects, the addition of GitLab CI/CD can be very smooth. The offering in CI/CD by GitLab is quite customizable and it backs up many programming languages as well as application test...
Source: morninglif.com
Top 7 GitHub Alternatives You Should Know (2024)
Most of the listed alternatives offer free tier plans for individuals or small teams. Tools like GitLab and Bitbucket allow users to host unlimited repositories without cost.
Source: snappify.com
Best GitHub Alternatives for Developers in 2023
While GitLab features an extensive set of capabilities, this can also serve as a weakness since beginners may find the developer tool overwhelming to begin with. The user interface compounds this issue by being outdated and unintuitive. GitLab could benefit from more third-party integrations, and its performance tends to struggle when dealing with large repositories or CI/CD...
Let's Make Sure Github Doesn't Become the only Option
The Pull Request workflow is so dominant now that it’s considered the default path for code to permanently enter into a repository. You can see a similar features in GitHub’s smaller competition Codeberg, GitLab, BitBucket, and Gitea. These competitors don’t offer other, major code collaboration tools, and their Pull Request-like features aren’t just there to help users come...

Social recommendations and mentions

Based on our record, GitLab seems to be a lot more popular than Google Cloud Dataproc. While we know about 114 links to GitLab, we've tracked only 3 mentions of Google Cloud Dataproc. 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.

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

GitLab mentions (114)

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What are some alternatives?

When comparing Google Cloud Dataproc and GitLab, you can also consider the following products

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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.

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

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

Gitea - A painless self-hosted Git service