What is Azure DevOps and what are its top alternatives?
Top Alternatives to Azure DevOps
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. ...
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...
- AWS CodePipeline
CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define. ...
Jira's secret sauce is the way it simplifies the complexities of software development into manageable units of work. Jira comes out-of-the-box with everything agile teams need to ship value to customers faster. ...
- Visual Studio
Visual Studio is a suite of component-based software development tools and other technologies for building powerful, high-performance applications. ...
GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers. ...
- GitHub Enterprise
GitHub Enterprise lets developers use the tools they love across the development process with support for popular IDEs, continuous integration tools, and hundreds of third party apps and services. ...
Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users. ...
Azure DevOps alternatives & related posts
- Hosted internally522
- Free open source467
- Great to build, deploy or launch anything async316
- Tons of integrations242
- Rich set of plugins with good documentation211
- Has support for build pipelines111
- Easy setup67
- It is open-source64
- Workflow plugin54
- Configuration as code12
- Very powerful tool10
- Many Plugins9
- Continuous Integration9
- Git and Maven integration is better8
- Great flexibility8
- 100% free and open source7
- Github integration6
- Slack Integration (plugin)6
- Easy customisation5
- Self-hosted GitLab Integration (plugin)5
- Docker support4
- Pipeline API4
- Platform idnependency3
- Excellent docker integration3
- Fast builds3
- Hosted Externally3
- AWS Integration2
- It's Everywhere2
- Can be run as a Docker container2
- It`w worked2
- Easily extendable with seamless integration1
- Build PR Branch Only1
- NodeJS Support1
- PHP Support1
- Ruby/Rails Support1
- Universal controller1
- Loose Coupling1
- Workarounds needed for basic requirements12
- Groovy with cumbersome syntax9
- Plugins compatibility issues7
- Lack of support6
- Limited abilities with declarative pipelines6
- No YAML syntax4
- Too tied to plugins versions3
related Jenkins posts
Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).
It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear
vagrant up or
vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.
I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as
vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.
We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.
If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.
The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).
Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.
Releasing new versions of our services is done by Travis CI. Travis first runs our test suite. Once it passes, it publishes a new release binary to GitHub.
Common tasks such as installing dependencies for the Go project, or building a binary are automated using plain old Makefiles. (We know, crazy old school, right?) Our binaries are compressed using UPX.
Travis has come a long way over the past years. I used to prefer Jenkins in some cases since it was easier to debug broken builds. With the addition of the aptly named “debug build” button, Travis is now the clear winner. It’s easy to use and free for open source, with no need to maintain anything.
- Open source friendly1.8K
- Easy source control1.5K
- Nice UI1.3K
- Great for team collaboration1.1K
- Easy setup864
- Issue tracker503
- Great community484
- Remote team collaboration480
- Great way to share450
- Pull request and features planning441
- Just works145
- Integrated in many tools131
- Free Public Repos119
- Github Gists114
- Github pages110
- Easy to find repos82
- Open source61
- Easy to find projects59
- It's free59
- Network effect56
- Extensive API48
- Developer Profiles33
- Git Powered Wikis32
- Great for collaboration29
- It's fun23
- Community SDK involvement22
- Clean interface and good integrations22
- Learn from others source code19
- Because: Git15
- It integrates directly with Azure14
- Standard in Open Source collab9
- It integrates directly with Hipchat8
- Beautiful user experience7
- Cloud SCM6
- Easy to discover new code libraries6
- Smooth integration5
- It's awesome5
- Nice API5
- Quick Onboarding4
- Remarkable uptime4
- Hands down best online Git service available4
- CI Integration4
- Loved by developers3
- Free HTML hosting3
- Security options3
- Simple but powerful3
- Uses GIT3
- Unlimited Public Repos at no cost3
- Version Control3
- Easy to use and collaborate with others3
- Nice to use2
- Easy and efficient maintainance of the projects1
- Good tools support1
- Free HTML hostings1
- Self Hosted1
- All in one development service1
- Easy to use1
- Easy source control and everything is backed up1
- Leads the copycats1
- Never dethroned1
- IAM integration1
- Issues tracker1
- Very Easy to Use1
- Easy deployment via SSH1
- Free private repos1
- Owned by micrcosoft53
- Expensive for lone developers that want private repos37
- Relatively slow product/feature release cadence15
- API scoping could be better10
- Only 3 collaborators for private repos8
- Limited featureset for issue management3
- GitHub Packages does not support SNAPSHOT versions2
- Does not have a graph for showing history like git lens2
- Have to use a token for the package registry1
- No multilingual interface1
- Takes a long time to commit1
related GitHub posts
I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.
I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!
I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.
Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.
Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.
With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.
If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis as preferred in-memory database/store (great for caching)
The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:
- Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
- Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
- Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
- Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
- Scalability: All-in-one framework for distributed systems.
- Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
- Simple to set up13
- Managed service8
- GitHub integration4
- Parallel Execution3
- Automatic deployment2
- Manual Steps Available0
- No project boards2
- No integration with "Power" 365 tools1
related AWS CodePipeline posts
I'm the CTO of a marketing automation SaaS. Because of the continuously increasing load we moved to the AWSCloud. We are using more and more features of AWS: Amazon CloudWatch, Amazon SNS, Amazon CloudFront, Amazon Route 53 and so on.
Our main Database is MySQL but for the hundreds of GB document data we use MongoDB more and more. We started to use Redis for cache and other time sensitive operations.
On the front-end we use jQuery UI + Smarty but now we refactor our app to use Vue.js with Vuetify. Because our app is relatively complex we need to use vuex as well.
On the development side we use GitHub as our main repo, Docker for local and server environment and Jenkins and AWS CodePipeline for Continuous Integration.
We recently added new APIs to Jira to associate information about Builds and Deployments to Jira issues.
The new APIs were developed using a spec-first API approach for speed and sanity. The details of this approach are described in this blog post, and we relied on using Swagger and associated tools like Swagger UI.
A new service was created for managing the data. It provides a REST API for external use, and an internal API based on GraphQL. The service is built using Kotlin for increased developer productivity and happiness, and the Spring-Boot framework. PostgreSQL was chosen for the persistence layer, as we have non-trivial requirements that cannot be easily implemented on top of a key-value store.
The front-end has been built using React and querying the back-end service using an internal GraphQL API. We have plans of providing a public GraphQL API in the future.
New Jira Integrations: Bitbucket CircleCI AWS CodePipeline Octopus Deploy jFrog Azure Pipelines
- Easy separation of projects149
- Run in the cloud113
- Code integration105
- Easy to use57
- Run on your own52
- Great customization39
- Easy Workflow Configuration38
- REST API27
- Great Agile Management tool12
- Integrates with virtually everything7
- Sentry Issues Integration3
- Rather expensive8
- Large memory requirement5
- Cloud or Datacenter only1
related Jira posts
So I am a huge fan of JIRA like #massive I used it for many many years, and really loved it, used it personally and at work. I would suggest every new workplace that I worked at to switch to JIRA instead of what I was using.
When I started at #StackShare we were using a Trello #Kanban board and I was so shocked at how easy the workflow was to follow, create new tasks and get tasks QA'd and deployed. What was so great about this was it didn't come with all the complexity of JIRA. Like setting up a project, user rules etc. You are able to hit the ground running with Trello and get tasks started right away without being overwhelmed with the complexity of options in JIRA
With a few TrelloPowerUps we were easily able to add GitHub integration and storyPoints to our cards and thats all we needed to get a really nice agile workflow going.
I'm not saying that JIRA is not useful, I can see larger companies being able to use the JIRA features and have the time to go through all the complex setup to get a really good workflow going. But for smaller #Startups that want to hit the ground running Trello for me is the way to go.
In saying that what I would love Trello to implement is to allow me to create custom fields. Right now we just have a
Description field. So I am adding
User Stories &
How To Test in the Markdown of the
Description if I could have these as custom fields then my #Agile workflow would be complete.
Last time we shared there information about our decision about using YouTrack over Jira actually we found much better solution that our team have loved. Linear is a minimalistic issue tracker that integrates well with Sentry, GitHub, Slack and Figma which are our basic tools. I would like to recommend checking out Linear as a potential alternative to "heavy" issue trackers, maybe at enterprises that may not work but when we're a startup that works awesome!
- Intellisense, ui305
- Complete ide and debugger244
- Node tools for visual studio (ntvs)35
- Free Community edition33
- Bug free17
- Made by Microsoft8
- Full free community version6
- JetBrains plugins (ReSharper etc.) work sufficiently OK5
- Productivity Power Tools3
- VIM integration2
- Vim mode2
- I develop UWP apps and Intellisense is super useful1
- Available for Mac and Windows1
- Cross platform development1
- The Power and Easiness to Do anything in any.. language1
- Made by Microsoft13
- Sometimes you need to restart to finish an update4
- Too much size for disk3
- Only avalible on Windows3
related Visual Studio posts
.NET Core is #free, #cross-platform, and #opensource. A developer platform for building all types of apps ( #web apps #mobile #games #machinelearning #AI and #Desktop ).
Developers have chosen .NET for:
Productive: Combined with the extensive class libraries, common APIs, multi-language support, and the powerful tooling provided by the Visual Studio family ( Visual Studio and Visual Studio Code ), .NET is the most productive platform for developers.
Any app: From mobile applications running on iOS, Android and Windows, to Enterprise server applications running on Windows Server and Linux, or high-scale microservices running in the cloud, .NET provides a solution for you.
Performance: .NET is fast. Really fast! The popular TechEmpower benchmark compares web application frameworks with tasks like JSON serialization, database access, and server side template rendering - .NET performs faster than any other popular framework.
Secure Membership Web API backed by SQL Server. This is the backing API to store additional profile and complex membership metadata outside of an Azure AD B2C provider. The front-end using the Azure AD B2C to allow 3rd party trusted identity providers to authenticate. This API provides a way to add and manage more complex permission structures than can easily be maintained in Azure AD.
We have .Net developers and an Azure infrastructure environment using server-less functions, logic apps and SaaS where ever possible. For this service I opted to keep it as a classic WebAPI project and deployed to AppService.
- Trusted Authentication Provider: @AzureActiveDirectoryB2C
- Frameworks: .NET Core
- IDEs: Visual Studio Code , Visual Studio
- Libraries: jQuery @EntityFramework, @AutoMapper, @FeatureToggle , @Swashbuckle
- Database: @SqlAzure
- Source Control: Git
- Build and Release Pipelines: Azure DevOps
- Test tools: Postman , Newman
- Test framework: @nUnit, @moq
- Infrastructure: @AzureAppService, @AzureAPIManagement
- Self hosted504
- Has community edition337
- Easy setup240
- Familiar interface239
- Includes many features, including ci135
- Nice UI111
- Good integration with gitlabci82
- Simple setup55
- Has an official mobile app33
- Free private repository32
- Continuous Integration29
- Open source, great ui (like github)20
- Slack Integration16
- Full CI flow12
- Free and unlimited private git repos10
- User, group, and project access management is simple8
- All in one (Git, CI, Agile..)7
- Intuitive UI7
- Built-in CI7
- Both public and private Repositories4
- Full DevOps suite with Git4
- Integrated Docker Registry3
- It's powerful source code management tool3
- So easy to use3
- Build/pipeline definition alongside code3
- Mattermost Chat client3
- Issue system3
- Because is the best remote host for git repositories2
- Free private repos2
- Great for team collaboration2
- Unlimited free repos & collaborators2
- It's fully integrated2
- I like the its runners and executors feature2
- One-click install through DigitalOcean2
- Security and Stable2
- Low maintenance cost due omnibus-deployment2
- Kubernetes integration with GitLab CI1
- Multilingual interface1
- Review Apps feature1
- Powerful software planning and maintaining tools1
- Groups of groups1
- Built-in Docker Registry1
- Not Microsoft Owned1
- Many private repo1
- Published IP list for whitelisting (gl-infra#434)1
- The dashboard with deployed environments1
- Powerful Continuous Integration System1
- Kubernetes Integration1
- Native CI1
- HipChat intergration1
- It includes everything I need, all packaged with docker1
- Supports Radius/Ldap & Browser Code Edits0
- Slow ui performance27
- Introduce breaking bugs every release7
- Insecure (no published IP list for whitelisting)5
- Built-in Docker Registry1
- Review Apps feature0
related GitLab posts
I have mixed feelings on GitHub as a product and our use of it for the Zulip open source project. On the one hand, I do feel that being on GitHub helps people discover Zulip, because we have enough stars (etc.) that we rank highly among projects on the platform. and there is a definite benefit for lowering barriers to contribution (which is important to us) that GitHub has such a dominant position in terms of what everyone has accounts with.
But even ignoring how one might feel about their new corporate owner (MicroSoft), in a lot of ways GitHub is a bad product for open source projects. Years after the "Dear GitHub" letter, there are still basic gaps in its issue tracker:
- You can't give someone permission to label/categorize issues without full write access to a project (including ability to merge things to master, post releases, etc.).
- You can't let anyone with a GitHub account self-assign issues to themselves.
- Many more similar issues.
It's embarrassing, because I've talked to GitHub product managers at various open source events about these things for 3 years, and they always agree the thing is important, but then nothing ever improves in the Issues product. Maybe the new management at MicroSoft will fix their product management situation, but if not, I imagine we'll eventually do the migration to GitLab.
We have a custom bot project, http://github.com/zulip/zulipbot, to deal with some of these issues where possible, and every other large project we talk to does the same thing, more or less.
We use GitLab CI because of the great native integration as a part of the GitLab framework and the linting-capabilities it offers. The visualization of complex pipelines and the embedding within the project overview made Gitlab CI even more convenient. We use it for all projects, all deployments and as a part of GitLab Pages.
While we initially used the Shell-executor, we quickly switched to the Docker-executor and use it exclusively now.
We formerly used Jenkins but preferred to handle everything within GitLab . Aside from the unification of our infrastructure another motivation was the "configuration-in-file"-approach, that Gitlab CI offered, while Jenkins support of this concept was very limited and users had to resort to using the webinterface. Since the file is included within the repository, it is also version controlled, which was a huge plus for us.
- Expensive - $$$3
- Code security2
- CDCI with Github Actions2
- Both Cloud and Enterprise Server Versions available1
- Draft Pull Request1
- User experience0
related GitHub Enterprise posts
I would like some information regarding the benefits an aspiring start-up company may have, while using GitHub Enterprise vs the regular GitHub package. On a separate issue, I'd like to understand whether GitLab may have some DevOps-related advantages GitHub does not.
Thank you in advance, Matt
We are using a Bitbucket server, and due to migration efforts and new Atlassian community license changes, we need to move to a new self-hosted solution. The new data-center license for Atlassian, available in February, will be community provisioned (free). Along with that community license, other technologies will be coming with it (Crucible, Confluence, and Jira). Is there value in a paid-for license to get the GitHub Enterprise? Are the tools that come with it worth the cost?
I know it is about $20 per 10 seats, and we have about 300 users. Have other convertees to Microsoft's tools found it easy to do a migration? Is the toolset that much more beneficial to the free suite that one can get from Atlassian?
So far, free seems to be the winner, and the familiarization with Atlassian implementation and maintenance is understood. Going to GitHub, are there any distinct challenges to be found or any perks to be attained?
- Free private repos905
- Simple setup398
- Nice ui and tools347
- Unlimited private repositories341
- Affordable git hosting240
- Integrates with many apis and services123
- Reliable uptime119
- Nice gui86
- Pull requests and code reviews84
- Very customisable58
- Mercurial repositories16
- SourceTree integration14
- JIRA integration11
- Track every commit to an issue in JIRA10
- Best free alternative to Github8
- Deployment hooks8
- Compatible with Mac and Windows7
- Automatically share repositories with all your teammates7
- Source Code Insight6
- Login with Google5
- Approve pull request button5
- Create a wiki5
- #2 Atlassian Product after JIRA4
- Customizable pipelines4
- Continuous Integration and Delivery3
- Also supports Mercurial3
- Unlimited Private Repos at no cost3
- IAM integration2
- Academic license program2
- Multilingual interface2
- Open source friendly2
- Issues tracker2
- Mercurial Support2
- Not much community activity19
- Difficult to review prs because of confusing ui17
- Quite buggy15
- Managed by enterprise Java company10
- CI tool is not free of charge8
- Complexity with rights management7
- Only 5 collaborators for private repos6
- Slow performance4
- No AWS Codepipelines integration2
- No more Mercurial repositories1
- No server side git-hook support1
related Bitbucket posts
I use GitLab when building side-projects and MVPs. The interface and interactions are close enough to those of GitHub to prevent cognitive switching costs between professional and personal projects hosted on different services.
GitLab also provides a suite of tools including issue/project management, CI/CD with GitLab CI, and validation/landing pages with GitLab Pages. With everything in one place, on an #OpenSourceCloud GitLab makes it easy for me to manage much larger projects on my own, than would be possible with other solutions or tools.
It's petty I know, but I can also read the GitLab code diffs far more easily than diffs on GitHub or Bitbucket...they just look better in my opinion.
A bit difference in GitHub and GitLab though both are Version Control repository management services which provides key component in the software development workflow. A decision of choosing GitHub over GitLab is major leap extension from code management, to deployment and monitoring alongside looking beyond the code base hosting provided best fitted tools for developer communities.
- Authentication stages - With GitLab you can set and modify people’s permissions according to their role. In GitHub, you can decide if someone gets a read or write access to a repository.
- Built-In Continuous Integrations - GitLab offers its very own CI for free. No need to use an external CI service. And if you are already used to an external CI, you can obviously integrate with Jenkins, etc whereas GitHub offers various 3rd party integrations – such as Travis CI, CircleCI or Codeship – for running and testing your code. However, there’s no built-in CI solution at the moment.
- Import/Export Resources - GitLab offers detailed documentation on how to import your data from other vendors – such as GitHub, Bitbucket to GitLab. GitHub, on the other hand, does not offer such detailed documentation for the most common git repositories. However, GitHub offers to use GitHub Importer if you have your source code in Subversion, Mercurial, TFS and others.
Also when it comes to exporting data, GitLab seems to do a pretty solid job, offering you the ability to export your projects including the following data:
- Wiki and project repositories
- Project uploads
- The configuration including webhooks and services
- Issues with comments, merge requests with diffs and comments, labels, milestones, snippets, and other project entities.
GitHub, on the other hand, seems to be more restrictive when it comes to export features of existing GitHub repositories. * Integrations - #githubmarketplace gives you an essence to have multiple and competitive integrations whereas you will find less in the GitLab.
So go ahead with better understanding.