GitLab DevSecOps platform enables software innovation by aiming to empower development, security, and operations teams to build better software, faster. With GitLab, teams can create, deliver, and manage code quickly and continuously instead of managing disparate tools and scripts. GitLab helps teams across the complete DevSecOps lifecycle, from developing, securing, and deploying software. Differentiators, as described by Gitlab:
Simplicity: With GitLab, DevSecOps can…
$0
per month per user
QAComplete
Score 8.9 out of 10
N/A
QAComplete is a performance testing tool from SmartBear. The vendor says QAComplete was built from the ground-up to be an easy-to-use test case management tool, adapting to the user's existing processes and empowering users to manage all of their manual and automated tests with ease, while reporting on all test results in one central location. The vendor's goal is for QAComplete to allows users to spend less time managing tests and focus on what they do best; making great…
GitLab is good if you work a lot with code and do complex repository actions. It gives you a very good overview of what were the states of your branches and the files in them at different stages in time. It's also way easier and more efficient to write pipelines for CI\CD. It's easier to read and it's easier to write them. It takes fewer clicks to achieve the same things with GitLab than it does for competitor products.
I think QAComplete is a great way to organize the literal hundreds of development bugs that are discovered throughout an agile-based project. Teams aren't always able to hotfix items on the fly and this tool provides a great repository and facility for storing and prioritizing those technical debt items that may get overlooked from sprint to sprint. It also let's everyone on the team get a clear understanding for project progress.
I really feel the platform has matured quite faster than others, and it is always at the top of its game compared to the different vendors like GitHub, Azure pipelines, CircleCI, Travis, Jenkins. Since it provides, agents, CI/CD, repository hosting, Secrets management, user management, and Single Sign on; among other features
I find it easy to use, I haven't had to do the integration work, so that's why it is a 9/10, cause I can't speak to how easy that part was or the initial set up, but day to day use is great!
I gave QAComplete this rating because though I do feel that it is a powerful tool, it's definitely not designed for the everyday user. Obviously the target demographic is QA specialists who should be team members that are very technical and methodical in their approaches. However, for the rest of the team, it can often time prove difficult to navigate. Also, the UI is in need of a serious refresh.
I've never had experienced outages from GItlab itself, but regarding the code I have deployed to Gitlab, the history helps a lot to trace the cause of the issue or performing a rollback to go back to a working version
GItlab reponsiveness is amazing, has never left me IDLE. I've never had issues even with complex projects. I have not experienced any issues when integrating it with agents for example or SSO
At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when GitHub was acquired by Microsoft
I have not had to work with their customer service directly yet. Our client has been utilizing this tool for years, so I would assume that the support they have received would be good enough to keep them wanting to continue to use the product.
Gitlab seems more cutting-edge than GitHub; however, its AI tools are not yet as mature as those of CoPilot. It feels like the next-generation product, so as we selected a tool for our startup, we decided to invest in the disruptor in the space. While there are fewer out-of-the-box templates for Gitlab, we have never discovered a lack of feature parity.