GitLab Value Stream Analytics
The DevSecOps Platform.
Overview
GitLab Value Stream Analytics is a feature within the GitLab DevSecOps platform that tracks the time it takes to go from idea to customer value. It visualizes the workflow from planning to monitoring, helping teams identify and address bottlenecks in their delivery process directly within the platform where they work.
✨ Key Features
- DORA Metrics (Deployment Frequency, Lead Time for Changes, etc.)
- Value Stream Analytics Dashboard
- Cycle Time and Lead Time reports
- Code review analytics
- CI/CD pipeline efficiency metrics
🎯 Key Differentiators
- Single application for the entire DevOps lifecycle
- Analytics are tightly integrated with the source code, CI/CD, and planning tools
- Open-core model with a strong community
Unique Value: Provides end-to-end visibility into the software delivery lifecycle without the need to integrate multiple third-party tools.
🎯 Use Cases (4)
✅ Best For
- Tracking lead time from issue creation to production deployment.
- Analyzing CI/CD pipeline duration to find slow jobs.
- Monitoring deployment frequency to gauge team velocity.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations not using GitLab for SCM or CI/CD
- Deep financial analysis or resource capitalization reporting
🏆 Alternatives
Unlike standalone analytics tools, GitLab's analytics are part of the same platform where work is done, reducing context switching and integration overhead.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Dedicated Support (Premium tier)
🔒 Compliance & Security
💰 Pricing
✓ 30-day free trial
Free tier: Basic analytics features are available. Advanced analytics require a paid tier.
📊 Market Info
Customers: NA
Total Funding: $434.2M
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