StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Continuous Integration
  4. Continuous Integration
  5. Azure Pipelines vs LayerCI

Azure Pipelines vs LayerCI

OverviewDecisionsComparisonAlternatives

Overview

Azure Pipelines
Azure Pipelines
Stacks2.3K
Followers457
Votes14
LayerCI
LayerCI
Stacks4
Followers17
Votes0

LayerCI vs Azure Pipelines: What are the differences?

Developers describe LayerCI as "CI that’s faster, easier and shareable as demo environments". Turn your CI pipelines into instant demo environments per commit.We take memory snapshots of your CI pipelines to turn them into hyper-efficient lambdas & demo environments. On the other hand, Azure Pipelines is detailed as "Continuously build, test, and deploy to any platform and cloud". Fast builds with parallel jobs and test execution. Use container jobs to create consistent and reliable builds with the exact tools you need. Create new containers with ease and push them to any registry.

LayerCI and Azure Pipelines can be categorized as "Continuous Integration" tools.

Some of the features offered by LayerCI are:

  • Start your whole stack in seconds
  • Automatic demo environments
  • Speed without needing Docker

On the other hand, Azure Pipelines provides the following key features:

  • Any language, any platform
  • Containers and Kubernetes
  • Extensible

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Azure Pipelines, LayerCI

Balaramesh
Balaramesh

Apr 20, 2020

Needs adviceonAzure PipelinesAzure Pipelines.NET.NETJenkinsJenkins

We are currently using Azure Pipelines for continous integration. Our applications are developed witn .NET framework. But when we look at the online Jenkins is the most widely used tool for continous integration. Can you please give me the advice which one is best to use for my case Azure pipeline or jenkins.

663k views663k
Comments

Detailed Comparison

Azure Pipelines
Azure Pipelines
LayerCI
LayerCI

Fast builds with parallel jobs and test execution. Use container jobs to create consistent and reliable builds with the exact tools you need. Create new containers with ease and push them to any registry.

Turn your CI pipelines into instant demo environments per commit.We take memory snapshots of your CI pipelines to turn them into hyper-efficient lambdas & demo environments.

Any language, any platform; Containers and Kubernetes; Extensible; Deploy to any cloud; Open source; Advanced workflows and features
Start your whole stack in seconds; Automatic demo environments; Speed without needing Docker; Get speed without unnecessary complexity; A web-based terminal for every CI pipeline; Evaluate website changes faster than ever
Statistics
Stacks
2.3K
Stacks
4
Followers
457
Followers
17
Votes
14
Votes
0
Pros & Cons
Pros
  • 4
    Easy to get started
  • 3
    Built by Microsoft
  • 3
    Unlimited CI/CD minutes
  • 2
    Docker support
  • 2
    Yaml support
No community feedback yet
Integrations
.NET Core
.NET Core
Slack
Slack
Python
Python
Ruby
Ruby
Kubernetes
Kubernetes
.NET
.NET
Node.js
Node.js
Linux
Linux
Microsoft Azure
Microsoft Azure
RxJava
RxJava
GitHub
GitHub

What are some alternatives to Azure Pipelines, LayerCI?

Jenkins

Jenkins

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Travis CI

Travis CI

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

Codeship

Codeship

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

CircleCI

CircleCI

Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.

TeamCity

TeamCity

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

Drone.io

Drone.io

Drone is a hosted continuous integration service. It enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more.

wercker

wercker

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.

GoCD

GoCD

GoCD is an open source continuous delivery server created by ThoughtWorks. GoCD offers business a first-class build and deployment engine for complete control and visibility.

Shippable

Shippable

Shippable is a SaaS platform that lets you easily add Continuous Integration/Deployment to your Github and BitBucket repositories. It is lightweight, super simple to setup, and runs your builds and tests faster than any other service.

Buildkite

Buildkite

CI and build automation tool that combines the power of your own build infrastructure with the convenience of a managed, centralized web UI. Used by Shopify, Basecamp, Digital Ocean, Venmo, Cochlear, Bugsnag and more.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana