Klocwork and Snyk compete in the static code analysis and vulnerability management category. Klocwork seems to have the upper hand with its robust static analysis capabilities, while Snyk shines in ease of integration with modern development environments.
Features: Klocwork offers on-the-fly and incremental analysis, extensive IDE integration with Eclipse and Visual Studio, and customization of checkers, vital for safety-critical environments. Snyk provides easy integration with cloud CI/CD systems, comprehensive vulnerability management, and supports Docker and Kubernetes security.
Room for Improvement: Klocwork struggles with false positives related to global variables and offers limited language support. Improvements in custom checker integration and a more flexible licensing model are necessary. Snyk needs more advanced static analysis features, better plugin systems for IDEs, and enhanced reporting visibility. Improved documentation and licensing flexibility would also help Snyk cater to developer needs better.
Ease of Deployment and Customer Service: Klocwork is mainly deployed on-premises, suitable for environments with strict data control needs, and offers strong customer support. Snyk supports various deployments, including clouds, but users may find its multiple integrations overwhelming. Both provide responsive technical support, though Klocwork's extensive global presence offers more options than Snyk, which focuses more on developers.
Pricing and ROI: Klocwork offers competitive pricing with flexible licensing models that cater to both small and large enterprises, providing a high ROI through improved code quality. Snyk, viewed as a premium solution, might be expensive for startups. Its flexible pricing based on active users and code committers must include additional costs like single sign-on, making Snyk's pricing a consideration despite its extensive feature set.
The main ROI factors include efficiency and how we meet compliance standards for various automotive requirements.
The issue is not about the knowledge of the support but about the prioritization of the tickets they handle.
The customer support team is very responsive, proactive, and engages in conversations to ensure our needs are met.
During the initial phase when I did interact with the vendor, the support was satisfactory.
Their response time aligns with their SLA commitments.
Our long-standing association has ensured smooth communication, resulting in favorable support experiences and satisfactory issue resolution.
Klocwork supports our scalability needs without issues, even as project volumes increase.
The program-to-program enablement is scalable.
Snyk allows for scaling across large organizations, accommodating tens of thousands of applications and over 60,000 repositories.
Installation is easy, and the solution is stable.
We would like Klocwork to connect to Git and notify developers of issues tied to specific commits.
Klocwork sometimes provides too many additional warnings which require expertise to manage.
There are too many warnings, and it requires expertise to determine the correct category for them.
One key feature we are currently examining with Veracode is AIVSS (Artificial Intelligence VSS), which is an extension of CVSS to cover use cases or top 10 LLM findings during code scanning.
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.
It is less expensive than Coverity.
Klocwork was competitively priced, making it a cost-effective solution for us.
Klocwork's pricing seems attractive, as it uses a per-user license model that does not have a lot of overhead.
Snyk is recognized as the cheapest option we have evaluated.
After negotiations, we received a special package with a good price point.
The most valuable feature of Klocwork is the static analysis tools, which help identify potential security threats and errors.
Its integration with the CI/CD pipeline has helped streamline the software development process.
It takes just half a day to set up.
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.
Our integration of Snyk into GitHub allows us to automatically scan codebases and identify issues, which has improved efficiency.
The best feature of Snyk is the integration with our ticketing system, which is Jira.
Product | Market Share (%) |
---|---|
Snyk | 6.5% |
Klocwork | 1.4% |
Other | 92.1% |
Company Size | Count |
---|---|
Small Business | 12 |
Midsize Enterprise | 2 |
Large Enterprise | 12 |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 8 |
Large Enterprise | 21 |
Klocwork detects security, safety, and reliability issues in real-time by using this static code analysis toolkit that works alongside developers, finding issues as early as possible, and integrates with teams, supporting continuous integration and actionable reporting.
Snyk's AI Trust Platform empowers developers to innovate securely in AI-driven environments, ensuring rapid and secure software development with enhanced policy governance.
Snyk’s platform integrates AI-ready engines across the software development lifecycle, offering broad coverage with high speed and accuracy essential for fast-paced coding environments. AI-driven features include visibility, prioritization, and tailored security policies that enable proactive threat prevention and quick remediation. By focusing on LLM engineering and AI code analysis, Snyk supports secure and productive development processes. The platform's partnerships, including GenAI code assistants, enhance AI application security by addressing new threats and code velocity challenges.
What are the key features of Snyk?Snyk is implemented across industries focusing on agile development and DevSecOps, enhancing software delivery speed and security. It is widely used for continuous monitoring and adherence to security and licensing standards, especially in environments relying on Docker image security and CI/CD pipeline integration.
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