GitLab and GitGuardian Platform both compete in the software development category, focusing on code management and security solutions. GitGuardian Platform is ahead, mainly because it offers very accurate secrets detection with a low false-positive rate, which is highly valued for security-focused tasks.
Features: GitLab is known for its CI/CD integration, branch management, and extensive automation support. It provides an excellent platform for DevOps and integrates well with other systems. GitGuardian Platform excels at real-time secrets detection, robust remediation capabilities, and wide integration support, making it particularly useful for maintaining security within codebases.
Room for Improvement: GitLab could enhance its AWS integration, improve reporting tools for non-developers, and further refine security features. Integrating better with third-party tools would also be beneficial. On the other hand, GitGuardian Platform needs to improve its integration with bug tracking, offer a more user-friendly experience for developers, and strengthen its detection capabilities and workflow integration accuracy.
Ease of Deployment and Customer Service: Both GitLab and GitGuardian Platform offer versatile deployment options across various cloud environments. User feedback for GitLab suggests mixed experiences with customer service, with more requests for quicker responses. GitGuardian Platform generally has positive feedback for deployment, though customer support experiences can vary with the license type.
Pricing and ROI: GitLab's pricing is considered fair with its open-source and premium offerings, delivering notable value for money. It often results in cost savings and increased efficiency. GitGuardian Platform's pricing is justified by its security capabilities, and users regard it as a necessary investment for avoiding data breaches while being a cost-effective option for security assurance.
I can certainly say that we have saved significant time and resources in terms of people and automation.
The majority of our incidents for critical detectors and important secret types are remediated automatically or proactively by developers through GitGuardian's notification system, without security team involvement.
Migrating to GitLab is bringing time-saving benefits, and everything is easier to automate.
We have saved time significantly, reducing deployment time from four hours to five minutes per deployment.
It effectively helps us with credentials security and has been performing satisfactorily.
I would rate their technical support a nine out of ten.
I would rate the technical support as excellent.
We have rarely needed to escalate issues to technical support since GitLab usually runs seamlessly.
I have interacted with architects for some advice during the implementation, and they were prompt in their response.
I have had meetings where they taught me, explained things, and provided guidance for starting from scratch.
In terms of scalability, I would rate it around a ten out of ten, as it handles all the repositories and commit activity we have.
I would rate it a ten out of ten for scalability.
Currently, what GitGuardian Platform is doing works effectively.
It has all the features required for our coding and deployment needs, which makes it scalable to our changing requirements.
We're transitioning to OpenShift for future scalability with increased user numbers.
For scaling, other deployment options from GitLab's side need to be adopted.
We set up a lot of the repository, so GitGuardian is a required check.
The SaaS platform has experienced two significant moments of downtime or instability in the last six months, requiring notices and retrospectives.
I would rate the stability of the GitGuardian Platform as excellent with no downtimes.
I have not encountered any performance or stability issues with GitLab so far.
The updates are frequent and demanding, happening at least once a week due to security reasons.
Another thing that would be good to see is some more metrics on the usage of the GitGuardian pre-push hooks.
The self-healing activity by developers isn't reflected in the analytics, requiring us to collect this data ourselves.
We are looking for better metrics and audit data, wanting more features such as knowing which users are creating the most secrets or committing the most secrets, what repository, what directory, and who is not checking in secrets.
It would be beneficial to have a user-friendly interface for setting up these configurations, instead of just writing YAML files.
It is essential to conduct proper testing, such as unit tests and code coverage, within the SDLC pipelines.
GitLab can improve its user interface to make conflict resolution more user-friendly.
Overall, the secret detection sector is expensive, but we are happy with the value we get.
It's fairly priced, as it performs a lot of analysis and is a valuable tool.
Even when working in other small organizations, we opted for GitLab as it was cost-efficient.
The pricing of GitLab is reasonable, aligning with what I consider to be average compared to competitors.
The price is high, and it limits user accessibility.
One of the best features of the solution is the ability to use pre-push hooks.
A high number of our exposures are remediated by developers before security needs to step in, as the self-healing playbook process engages them automatically.
GitGuardian Platform performs the capability to detect secrets in real time exceptionally, as it activates from the commit and can detect it immediately.
As we implement automated testing and DevSecOps, it speeds up the process by forty to sixty percent.
The Ultimate version offers enhanced features for security scanning through DAST and SAST analysis, which have greatly benefitted our project workflow.
By integrating GitLab as a DevOps platform, we have enhanced agility, improved our time to market, and different teams can work collaboratively on various projects.
GitGuardian is an advanced secrets security platform that strengthens Non-Human Identity security and ensures compliance with industry standards by detecting and managing secrets in development environments.
GitGuardian integrates Secrets Security and Secrets Observability, facilitating the detection of compromised secrets and managing legitimate secrets' lifecycle. Supporting over 450 types of secrets, the platform offers public monitoring for leaked data and employs honeytokens as an added defense. Trusted by over 600,000 developers, organizations such as Snowflake and ING rely on GitGuardian for robust secrets protection.
What features define GitGuardian?In sectors like healthcare and telecommunications, GitGuardian is implemented for detecting and managing the exposure of sensitive information in code repositories. Teams benefit from its ability to integrate with platforms such as GitHub, allowing for immediate alerts and efficient remediation of security risks, enhancing application security by safeguarding operational environments.
GitLab offers a secure and user-friendly platform for CI/CD pipeline management, code repository control, and collaboration, enhancing development speed and efficiency. It facilitates automation with extensive customization and tool integration, ideal for DevOps processes.
GitLab supports source code management, version control, and collaborative development. It's frequently used in CI/CD processes to automate builds and deployments while integrating DevOps practices. GitLab allows companies to manage repositories, automate pipelines, conduct code reviews, and maintain development lifecycles. The platform supports infrastructure and configuration management, enabling efficient code collaboration, deployment automation, and comprehensive repository handling. Many organizations commit and deploy developed code using GitLab's capabilities.
What are GitLab's most valuable features?In specific industries, GitLab serves as a backbone for source code management and CI/CD implementation. Companies leverage its capabilities for infrastructure management and deployment automation, thus streamlining project delivery timelines. Its ability to handle configuration management and code repositories effectively aids in maintaining development lifecycles, making it a preferred choice for organizations committed to enhancing their DevOps practices.
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