Gigamon Deep Observability Pipeline and Snyk are competitors in the cybersecurity and performance monitoring domain. Snyk is favored for its comprehensive application security features, which are particularly appealing for those focusing on software vulnerability detection and remediation.
Features: Gigamon Deep Observability Pipeline offers extensive network visibility, real-time traffic analysis, and performance optimization. It is ideal for infrastructure-level insights with features like NetFlow and packet filtering, which enhance security inspection and improve network efficiency. Snyk emphasizes vulnerability detection in open-source and container applications, continuous monitoring, and automated vulnerability management. Its integrations with development tools make it user-friendly for maintaining application integrity.
Room for Improvement: Gigamon could enhance its user interface and expand its analytical capabilities for better traffic flow analysis and visibility. Moreover, streamlining setup procedures and reducing dependency on other tools could improve user experience. Snyk could benefit from expanding its library of supported components and further refining its scanning accuracy. The tool's reliance on existing codebases for security context could also be optimized. Additionally, finding a balance between developer ease and comprehensive security could enhance its effectiveness.
Ease of Deployment and Customer Service: Gigamon integrates well with existing network setups but requires more time for deployment due to its architecture-centric nature. Its customer support is noted for being attentive and technically proficient. Snyk is straightforward and easier to deploy, seamlessly integrating with developer workflows. Its customer service is proactive, with ample resources aiding in quick adoption. This makes Snyk more suitable for development environments with rapid deployment timelines.
Pricing and ROI: Gigamon's pricing corresponds with its advanced networking capabilities, justified by potential ROI from network optimization and minimized downtime. Snyk's cost reflects its strong focus on application security, viewed as an investment in code integrity and reduced vulnerability risks. While Gigamon offers ROI through network performance improvement, Snyk provides returns through enhanced security and reduced software vulnerabilities.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
We could understand the implementation of the product and other features without the need for human interaction.
Our long-standing association has ensured smooth communication, resulting in favorable support experiences and satisfactory issue resolution.
Their response time aligns with their SLA commitments.
Snyk allows for scaling across large organizations, accommodating tens of thousands of applications and over 60,000 repositories.
Both Veracode and Snyk should implement this new scoring system for CVSS and AIVSS.
The inclusion of AI to remove false positives would be beneficial.
It lacks the ability to select branches on its Web UI, forcing users to rely on CLI or CI/CD for that functionality.
Snyk is less expensive.
After negotiations, we received a special package with a good price point.
Snyk is recognized as the cheapest option we have evaluated.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
Our integration of Snyk into GitHub allows us to automatically scan codebases and identify issues, which has improved efficiency.
Snyk helps detect vulnerabilities before code moves to production, allowing for integration with DevOps and providing a shift-left advantage by identifying and fixing bugs before deployment.
I appreciate the UI. It is simple, fast, and I value the precision in the tests.
| Product | Market Share (%) |
|---|---|
| Snyk | 0.3% |
| Gigamon Deep Observability Pipeline | 0.4% |
| Other | 99.3% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 9 |
| Large Enterprise | 21 |
Gigamon Deep Observability Pipeline is a comprehensive network visibility solution that provides real-time insights into network traffic. It offers SSL inspection and mobile network monitoring for traffic monitoring purposes. The solution optimizes networks, aids in security inspection, and improves firewall performance. It is praised for its performance, power, straightforward integration, stability, and ease of initial setup.
With Gigamon, organizations can gain complete visibility into their network traffic, identify potential threats, and take proactive measures to prevent them. The solution is ideal for organizations of all sizes, including enterprises, service providers, and government agencies.
Snyk excels in integrating security within the development lifecycle, providing teams with an AI Trust Platform that combines speed with security efficiency, ensuring robust AI application development.
Snyk empowers developers with AI-ready engines offering broad coverage, accuracy, and speed essential for modern development. With AI-powered visibility and security, Snyk allows proactive threat prevention and swift threat remediation. The platform supports shifts toward LLM engineering and AI code analysis, enhancing security and development productivity. Snyk collaborates with GenAI coding assistants for improved productivity and AI application threat management. Platform extensibility supports evolving standards with API access and native integrations, ensuring comprehensive and seamless security embedding in development tools.
What are Snyk's standout features?Industries leverage Snyk for security in CI/CD pipelines by automating checks for dependency vulnerabilities and managing open-source licenses. Its Docker and Kubernetes scanning capabilities enhance container security, supporting a proactive security approach. Integrations with platforms like GitHub and Azure DevOps optimize implementation across diverse software environments.
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