

GitLab and CAST Highlight are both strong competitors in the DevOps and code analysis categories, respectively. GitLab holds an advantage due to its comprehensive development features, offering a broad range, including CI/CD and code review capabilities.
Features: GitLab provides a robust CI/CD pipeline, extensive code repository management, and seamless code review processes. It supports a variety of development and automation operations. In contrast, CAST Highlight focuses on code readiness for the cloud, requiring no direct codebase access, integrating well with Azure DevOps, and emphasizing quick solutions for automation and speed.
Room for Improvement: GitLab could improve integration with third-party tools like Jira, enhance AWS and container management, and offer better reporting features. CAST Highlight is noted for its high cost, difficulty in configuration, and less comprehensive dashboards compared to CAST AIP. Both platforms could benefit from broader integration capabilities and more user-friendly interfaces.
Ease of Deployment and Customer Service: GitLab shines with flexible deployment options across various clouds and on-premises environments. Although its open-source nature supports community help, official support needs quicker response times. CAST Highlight mainly operates on-premises with some cloud options, but lacks dedicated support unless purchased separately. Both solutions could improve their official support offerings.
Pricing and ROI: GitLab offers a range from a free edition to costly premium options, providing substantial feature richness which contributes to a positive ROI. CAST Highlight is seen as expensive, and its cost could be a limitation for some users. Despite this, both solutions are acknowledged for enhancing productivity and delivering good ROI, with GitLab typically presenting more value for integration of development lifecycles.
In terms of time saved, it went from approximately 3.5 hours per insight report to around 40 minutes, which is 80% faster.
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.
In terms of operational efficiency, a ten to twenty percent increase in speed could quite easily be seen from using the Issues and Epics tracking feature.
Some support team members are helpful, and others lack in-depth knowledge of the tool, which might cause challenges.
I interacted with customer support regarding one of my project results related to vulnerabilities and license risks, and they explained everything clearly, leaving me very satisfied.
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.
The processing time per new report stays consistent, experiencing no slowdowns even when we had over 200 new reports dropped in a week.
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.
CAST Highlight proves reliable in nature.
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.
We raised a request with GitLab support, but they were unable to help because they could not find the root cause of what went wrong.
Understanding only the OS-specific blockers means I would avoid resolving irrelevant issues, thus saving time.
CAST Highlight's deduplication is great for avoiding spam, but sometimes we want two similar quotes if they are from very different company sizes, such as SMB versus enterprise perspectives on pricing.
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.
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.
Smart deduplication groups similar quotes and picks the strongest and most significant one. It stops insights from showing eight variations of great UI, giving diverse voices instead of repetition.
In cloud migration, I use CAST highlight to identify blockers, which are the negative road patterns, and also the boosters, which are positive code patterns.
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.
| Product | Mindshare (%) |
|---|---|
| GitLab | 3.5% |
| CAST Highlight | 1.2% |
| Other | 95.3% |


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 38 |
| Midsize Enterprise | 10 |
| Large Enterprise | 49 |
CAST Highlight is a comprehensive platform that integrates with Azure DevOps, offering remote functionalities without direct codebase access. It quickly identifies cloud migration blockers and supports most programming languages with an easy setup.
CAST Highlight stands out with its user-friendly interface and dashboard, enabling efficient scanning for environment quality. Its automation and speed are particularly valued, making it distinct in the software analysis domain. While users encounter challenges with language-specific insights and expensive licensing, they benefit from its capability to assess code base states during mergers, acquisitions, and cloud migration planning. Technical support poses issues, and some users face hurdles with configuration customization and issue reporting clarity. Despite these challenges, CAST Highlight demonstrates effectiveness in identifying application service quality and ensuring legal, security, and IP compliance.
What features define CAST Highlight?CAST Highlight is adopted across industries for tasks such as assessing code during mergers, managing application portfolios, and planning cloud migrations. It facilitates open source safety checks and replatforming architectures, serving roles in firewall and storage management. Users rely on it for service quality verification and distinguishing applications from competitors.
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.
We monitor all Software Composition Analysis (SCA) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.