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Colaboratory for G Suite VS AWS CodeBuild

Compare Colaboratory for G Suite VS AWS CodeBuild and see what are their differences

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Colaboratory for G Suite logo Colaboratory for G Suite

A data analysis tool that combines code, output, and descriptive text into one collaborative document.

AWS CodeBuild logo AWS CodeBuild

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  • AWS CodeBuild Landing page
    Landing page //
    2023-03-19

Colaboratory for G Suite features and specs

  • Ease of Use
    Colaboratory integrates seamlessly with Google Drive, allowing users to easily create and share Jupyter notebooks within the G Suite ecosystem without setup or installation challenges.
  • Access to Powerful Resources
    Users can leverage Google's cloud infrastructure, including GPU and TPU-accelerated computing resources, enabling efficient execution of complex computations and machine learning tasks.
  • Collaboration Features
    Real-time collaboration is made straightforward, allowing multiple users to work simultaneously on the same notebook, similar to Google Docs, enhancing productivity and teamwork.
  • Free Usage Tier
    Colaboratory offers a generous free tier, providing access to compute resources without needing an upfront financial commitment, making it accessible to students and educators.
  • Extensive Library Support
    Being built on a Jupyter notebook platform, it supports a wide range of Python libraries, which are pre-installed, speeding up the development process for data science applications.

Possible disadvantages of Colaboratory for G Suite

  • Limited Customization
    Since it's a cloud-based solution, there is a restriction on environment customization compared to local Jupyter notebooks, which might be needed for specialized applications.
  • Resource Quotas
    There are usage limits on computational resources (e.g., active time, CPU, GPU), which can be restrictive for more extensive projects requiring prolonged computation.
  • Data Privacy Concerns
    As with any cloud-based tool, there are inherent privacy concerns, especially when handling sensitive data, which require careful consideration by users.
  • Internet Dependency
    Colaboratory requires a stable internet connection to function, which can be problematic in areas with poor connectivity or for users needing offline access.
  • Limited Language Support
    While Colaboratory is excellent for Python development, support for other programming languages is more limited compared to a full Jupyter Notebook environment.

AWS CodeBuild features and specs

  • Fully Managed
    AWS CodeBuild is a fully managed continuous integration service. Users do not need to worry about provisioning, managing, and scaling their own build servers.
  • Scalability
    CodeBuild automatically scales up and down to meet the demands of your build process, ensuring that builds are completed quickly without manual intervention.
  • Pay-as-You-Go Pricing
    Users only pay for the compute time they consume with CodeBuild, making it a cost-effective solution for many developer teams.
  • Integration with AWS Services
    CodeBuild integrates seamlessly with other AWS services like S3, EC2, and CloudWatch, providing a cohesive environment for your development and deployment pipelines.
  • Custom Environment Support
    Users can define their own build environments with custom Docker images, providing flexibility to meet specific build requirements.

Possible disadvantages of AWS CodeBuild

  • Complex Setup for Beginners
    Setting up projects in CodeBuild can be complex for users who are new to AWS or continuous integration services.
  • Limited Local Testing
    Unlike some CI tools, AWS CodeBuild provides limited options for running builds locally before pushing changes, which can hinder testing processes.
  • Learning Curve
    Users unfamiliar with AWS services may face a steep learning curve when first using CodeBuild as it involves understanding several AWS concepts and configurations.
  • Potential Costs at Scale
    While the pay-as-you-go model is cost-effective for small workloads, costs can accumulate significantly as usage scales up if not managed carefully.
  • Configuration Management
    Managing build spec files and environment configurations can become complex, especially in projects with many different build processes.

Colaboratory for G Suite videos

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AWS CodeBuild videos

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AWS CodeBuild Tutorial

More videos:

  • Review - AWS CodeBuild Overview
  • Review - All the AWS CodeBuild You Can Stomach in 45 Minutes

Category Popularity

0-100% (relative to Colaboratory for G Suite and AWS CodeBuild)

Colaboratory for G Suite

AWS CodeBuild

Password Managers
100 100%
Password Managers
0% 0
Continuous Integration
0 0%
Continuous Integration
100% 100
WiKis
100 100%
WiKis
0% 0
DevOps Tools
0 0%
DevOps Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS CodeBuild seems to be a lot more popular than Colaboratory for G Suite. While we know about 13 links to AWS CodeBuild, we've tracked only 1 mention of Colaboratory for G Suite. 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.

Colaboratory for G Suite mentions (1)

  • Simple, Free, Unlimited copy & paste seedbox
    I have created a simple seedbox based on the Google Colaboratory. It can download from torrent files or magnet links. It is Free and has No limitations of file size or count of downloads. Files will be downloaded to your Google Drive. Source: about 3 years ago

AWS CodeBuild mentions (13)

  • Low Cost "Overkill" AWS Infrastructure for a Newborn Startup
    Therefore, I used AWS Codebuild and AWS CodePipeline to automate the steps of building and deploying the services. The diagram below depicts all the steps required to continuously deliver the frontend and backend applications:. - Source: dev.to / about 2 years ago
  • How CodeCatalyst compares to other AWS Services related to Development and CI/CD processes
    We treat these services in one  group as they belong together from a strategic point of view. They have been around for a few years and the teams that built these are now involved in CodeCatalyst. CodeCatalyst partly uses them “under the hood”. CodeCommit is a managed git hosting, CodeBuild is a managed “build” system, CodeStar is a “project management” tool. CodePipeline allows combining multiple CodeBuild steps... - Source: dev.to / about 2 years ago
  • Well-Architected Review - Part II - Operational Excellence
    Design for Operations You should implement your entire workload as code. The benefit is that you can apply the same engineering discipline that you use for application code to your infrastructure. Use version control system like AWS Codecommit to enable tracking of changes and releases, and use AWS Cloudformation for your infrastructure templates. It is recommendable to test and validate changes to help limit... - Source: dev.to / over 2 years ago
  • DevSecOps with AWS - Multi Environment deployments - Part 2
    AWS CodeBuild: fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy. - Source: dev.to / over 2 years ago
  • DEVOPS AS A SERVICE
    AWS CodeBuild is a completely managed service for compiling code, testing quality assurance using automated procedures, and generating software ready for deployment. CodeBuild is incredibly secure, as each client receives a unique set of encryption keys to include in each created artifact. Source: almost 3 years ago
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What are some alternatives?

When comparing Colaboratory for G Suite and AWS CodeBuild, you can also consider the following products

Code Blocks for G Suite - Syntax highlighting for Google Docs

AWS CodePipeline - Continuous delivery service for fast and reliable application updates

Maven App Engine Plugin - Computing power delivered everywhere, for customers & @gcloudpartners alike. Here's how to transform your biz with @GCPcloud, @gsuite, #Chrome & Android devices

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

Cloud Tools for Intellij - Our IntelliJ plugin integrates Google Cloud Platform with JetBrains IntelliJ IDEA, making Java development on GCP faster and more productive.

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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