Azure Pipelines vs. GNU Make

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Pipelines
Score 7.0 out of 10
N/A
Users can automate builds and deployments with Azure Pipelines. Build, test, and deploy Node.js, Python, Java, PHP, Ruby, C/C++, .NET, Android, and iOS apps. Run in parallel on Linux, macOS, and Windows. Azure Pipelines can be purchased standalone, but it is also part of Azure DevOps Services agile development planning and CI/CD suite.N/A
GNU Make
Score 7.7 out of 10
N/A
GNU Make is an open source and free build automation tool.N/A
Pricing
Azure PipelinesGNU Make
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure PipelinesGNU Make
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure PipelinesGNU Make
Best Alternatives
Azure PipelinesGNU Make
Small Businesses
GitLab
GitLab
Score 8.7 out of 10
GitLab
GitLab
Score 8.7 out of 10
Medium-sized Companies
GitLab
GitLab
Score 8.7 out of 10
GitLab
GitLab
Score 8.7 out of 10
Enterprises
GitLab
GitLab
Score 8.7 out of 10
GitLab
GitLab
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure PipelinesGNU Make
Likelihood to Recommend
7.0
(0 ratings)
7.1
(0 ratings)
Support Rating
-
(0 ratings)
7.1
(0 ratings)
User Testimonials
Azure PipelinesGNU Make
Likelihood to Recommend
With a fully Microsoft Azure based workflow - Azure Pipelines makes absolute sense. Azure Pipelines are robust and work very well with SonarQube for test coverage and are shared with our developers. This prevents the developers for pushing code without unit tests across our backend and frontend platforms. We have reduced our instances of manual regression tests especially when there are multiple teams working across the same repositories.
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Makefiles are machine-readable documentation that make your workflow reproducible. If the build process is a very continuous flow of operations within scope, it will do it well and also act as a documentation of all the dependence. For some long-term projects, Make has been used extensively and being maintained to do the job.
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Pros
  • Code Integration/Code Deployment
  • Azure Engine Auto Scaling Up with help of Pipeline
  • Managing Version Control and deploy in rollback with just one click
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  • Performance and accuracy of cross-module dependencies.
  • Simple to write and easy to understand.
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Cons
  • Error messaging when team members don't have permissions
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  • No dependency management tools (but there are no cross-platform tools of this type anyway)
  • Tedious to do cross-compilation (Debug & Release builds, 32- and 64-bit builds, x86/ARM builds)
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Support Rating
No answers on this topic
In general, it is fair to say the support is sufficient although we do not deal with support directly. There are a lot of forum people chiming in with suggestions or recommendations of particular usage or issues we run into. Since it is open software, patch and fixes will be available from time to time. A lot of information is available in the web now for knowing GNU Make from learning, example, teaching, etc.
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Alternatives Considered
We have used the GitHub CI/CD. Earlier we were using the Azure Pipelines but after GitHub had their actions, we integrated that for CI/CD. It runs the tests and makes a production build which can be live. GitHub CI/CD is more useful because we have to make script only once then just by few changes we can deploy it onto Azure, AWS, Google anywhere so we found it more convenient
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I'm a full-stack developer that has used various build tools, including Maven, Gradle, and NPM/yarn. For our C projects, I also investigated CMake and Ninja, but they seemed more difficult to learn and more tedious to work with. GNU Make is a single binary that can be easily downloaded, even for Windows under MingW32, is straightforward to learn, and works pretty well despite its age.
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Return on Investment
  • We don't have to deploy changes manually
  • But because of this that we automated some tasks, we need to be still aware of some edge cases we can meet and which can cause a pipelines failures
  • We can deploy changes pretty fast
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  • Easier to onboard new developers
  • Straightforward integration with CI/CD systems
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ScreenShots