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
Tin
Score 0.0 out of 10
N/A
Tin is a product of TeamCode that can generate executable applications without manual environment configuration. Functions: Support various ways to deploy applications: Docker Image, Docker Compose, Dockerfile, and Source Code. Provide "Source to Service" capability, support multiple programming languages, and auto-build environment without cumbersome process to install dependencies. Provide clone function, sharing can be…
$0
per month per user
Pricing
Azure Pipelines
TeamCode Tin
Editions & Modules
No answers on this topic
Starter
$0
per month per user
Professional
$8
per month per user
Team
Contact us
per month
Offerings
Pricing Offerings
Azure Pipelines
Tin
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
$8 per month per user
Additional Details
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If you are a team user, please contact us directly.
More Pricing Information
Community Pulse
Azure Pipelines
TeamCode Tin
Considered Both Products
Azure Pipelines
Verified User
Anonymous
Chose Azure Pipelines
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 …
The tools are very similar - but Azure Pipelines work best for Azure-based products are better suited for the stack. For our engineers, we could switch between all the various continuous integration/deployment tools without much issues, but it makes sense to use the stack …
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.
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