GitLab is an intelligent orchestration platform for DevSecOps, where software teams enable AI at every stage of the software lifecycle to ship faster. The platform enables teams to automate repetitive tasks across planning, building, securing, testing, deploying, and maintaining software.
$0
per month per user
LoadRunner Professional
Score 8.7 out of 10
N/A
A solution simplifies performance load testing for colocated teams. With project-based capabilities, so teams can quickly identify abnormal application behavior.
N/A
Pricing
GitLab
OpenText LoadRunner Professional
Editions & Modules
GitLab Free (self-managed)
$0
GitLab Free
$0
GitLab Premium
$29
per month per user
GitLab Premium (self-managed)
$29
per month per user
GitLab Ultimate
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GitLab Ultimate (self-managed)
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Offerings
Pricing Offerings
GitLab
LoadRunner Professional
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
GitLab Credits enable flexible, consumption-based access to agentic AI capabilities in the GitLab platform, allowing you to scale AI adoption at your own pace while maintaining cost predictability. Powered by Duo Agent Platform, GitLab’s agentic AI capabilities help software teams to collaborate at AI speed, without compromising quality and enterprise security.
If usage exceeds monthly allocations and overage terms are accepted, automated on-demand billing activates without service interruption, so your developers never lose access to AI capabilities they need.
Real-time dashboards provide transparency into AI consumption patterns. Software teams can see usage across users, projects, and groups with granular attribution for cost allocation. Automated threshold alerts facilitate proactive planning. Advanced analytics deliver trending, forecasting, and FinOps integration.
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.
Micro Focus LoadRunner and its suite of tools, specifically VuGen works wonderfully for us for all web, http/https and web service calls. We've been able to build tests for near any scenario we need with relative ease. As long as we have crafted up requirements for our scenarios / scripts to managed scope, we've had high success working with scripting and data driving. Our main tests are web service calls - typically chained together to form a full scenario with transactions measuring the journey or a similar (measure along the way) journey through a browser. For web services we will use VuGen and browser we've shifted to Tru Client I have had little-to-no experience scripting against a thick client where a ui-driven test would be required. I know its possible but quite costly due to the need to run the actual desktop client to drive tests. We've been fortunate enough to leverage http calls to represent client traffic.
HP LoadRunner with new patches and releases sometimes makes no longer support older version of various protocols like Citrix, which makes the task time-consuming when using older versions of LoadRunner for some of the cases. So it should support older version as well while upgrading.
Configuring HP LoadRunner over the firewall involves lots of configuration and may be troublesome. So, there should be a script (power shell script for Windows or shell script for Linux users) to make it easy to use and with less pain.
I would like to see the RunTime Viewer of Vugen in HPLoadRunner based on the browser I selected in the run-time configuration to make it feel more realistic as a real user.
Licensing cost is very high when we need to perform a test on application for a specific group of users.
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'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
Customer service is not that great. It's difficult to get hold of someone if an issue is supposed to be addressed on an urgent basis. No online chat service readily available.
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.
The scripts created with traditional web/http protocol are not robust thus re-scripting is required after most every code drop. Troubleshooting and fixing the issue takes more time therefore in most cases we do re-scripting to keep it simple and save time.
In ideal world you would rather spend more time doing testing than scripting in that case mostly you could use an Ajax TruClient protocol. This type of script will only fail when an object in the application is removed or changed completely. This way of scripting will save you more time and helps you maintain the scripts with less re-work effort on a release basis. On the long run you will have a better ROI when you use Ajax TruClient protocol for scripting.