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
Splunk Observability Cloud
Score 8.2 out of 10
N/A
Splunk Observability Cloud aims to enable operational agility and better customer experience through real-time AI-driven streaming analytics allowing accurate alerts in seconds. It is designed to shorten MTTD and MTTR by providing real-time visibility into cloud infrastructure and services.
$180
per year per host
Pricing
Bugzilla
GitLab
Splunk Observability Cloud
Editions & Modules
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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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Infrastructure
$15
per month (billed annually) per host
App & Infra
$60
per month (billed annually) per host
End-to-End
$75
per month (billed annually) per host
Offerings
Pricing Offerings
Bugzilla
GitLab
Splunk Observability Cloud
Free Trial
No
Yes
Yes
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
No setup fee
Optional
No setup fee
Additional Details
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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.
Buzilla is easy to use and provides basic functionality to use as a bug tracking tool. If big size attachments are allowed it would have been great. Also with Bugzilla home->Test management area is improved by allowing multiple sections it would be awesome!
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.
Its great if you need real-time visibility across complex or regulated environments. Also strong for hybrid or multi-cloud setups where uptime, observability and fast IR are required. It’s probably overkill for smaller teams or environments that don’t have constant changes or compliance reporting needs. It's expensive and has a steep learning curve. Also, in my opinion, do not get yourself into a consumption based model. Costs can certainly get out of control quickly.
Open source! No license fee involved, no limit to the number of licenses.
Easy to install and maintain. Installation is very easy and hardly needs any maintenance efforts, except when migrating from one version to other. Each project can have its own group of users.
Includes all the core features/fields that are needed to log a software bug/issue.
Multiple attachments are possible, supports various formats.
Good for reporting. Filtering mechanism lets you query bugs by various parameters.
The first one is its Kubernetes container monitoring.
I really like this features because as we know how much K8s is vast and to manually monitor each part of the Kubernetes it takes so much time but Splunk Observability Cloud makes it easier. And even once we integrate K8s with Splunk Observability Cloud it gives us some prebuilt dashboards which gives holistic view of our Cluster and its nodes, pods, etc.
The dashbaord feature of Splunk Observability Cloud, it gives us full flexibility to customize our dashboard with a wide range of predefined chart types.
Now it also supports OTEL, which is a plus point for observability. As now everyone is moving towards Otel and in current market there are only few tools who supports OTEL based integrations, Splunk Observability Cloud is one out of them.
Cloud Based. I'd like to see bugzilla be cloud based. The company I currently work with made a final decision to change db's for this specific reason. Due to the frequency of travel in this company, they need access to bugzilla from differing national / international locations.
Larger File Attachments. I believe the limit of a bugzilla content upload is 4 megabytes. For many of our video'd issues, this file size is simply impractical without the additional effort exertion on video compressor applications.
You can use table-like functionality to generate dashboards, but these queries are heavy on the system.
It could be easier to give insight into what type of line parsing is used for specific documents in a company-managed environment and/or show ways to gain the insights needed.
I would like to see ways to anonymize specific data for shared reports without pre-formatting this in a dashboard on which reports could be based.
For future projects I will look at something that is hosted in the cloud that I don't have to manage. I would also like something that has a more modern feel to allow my customers to use it as well as my employees.
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
Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net
This is a pretty straightforward system. You put in the bug details, a ticket is created, the team is notified. The user interface reflects this very simple and straightforward flow. It's certainly much easier than trying to track bugs with using Excel and email.
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!
When there is an issue, it’s a win if one can easily identify the root cause. To do the same, it should allow the user to dig deep with multiple data points and compare the data and identify the anomaly. In this use case, it’s good to drive from Splunk 011y.
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
Since it is open source, it doesn't have customer service. However, the amount of information on forums is vast. If you can wade through it, you'll get what you need
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
Implementation was pretty simple. Particularly because the product cannot be customized so there is not much to do apart from getting it up and running.
We migrated away from the whole suite of Rational tools because of their massive complexity around administration and inflexibility regarding workflows. In addition, the suite was insanely expensive, and users hated the usability of the tools. We evaluated, and liked JIRA, but because the organization was looking for cost savings, we ended up going with Bugzilla and it's FOSS model so as to avoid ongoing costs.
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.
Splunk Infrastructure Monitoring provides far superior options for anybody using a complex hybrid multi-cloud environment and allows both your SOC and NOC to work together on the same data while driving their own insights. We found other products are still in the old world view of servers and agents residing together within a single data centre, but modern apps are no longer like this.
It has made the SDLC process more efficient. Bugs were logged and tracked in emails or in Excel sheets leading to slow communication and at time version issues with multiple files. Being an online tool, Bugzilla solved those issues, improved communication, instant status updates and improved efficiency.
We have used Bugzilla with a lot of federal goverment agencies (DHS, CMS, SAMHSA, CDC, HHS etc). Project Directors adn Principle Investigators were at times given access to Bugzilla which provided a snapshot of open vs closed issues.
Some groups would resist using Bugzilla with the email reminders being the main reason. Turning off or reminding them of features where we can 'control' email notification helped a lot.
