Black Duck and Snyk compete in open source security management. Black Duck excels in comprehensive license compliance management, while Snyk stands out for seamless integration and developer-friendly tools. Black Duck has an advantage in managing open source component risks, whereas Snyk excels in CI/CD environments.
Features: Black Duck offers in-depth vulnerability detection, license compliance management, and a robust security platform. Snyk is lauded for real-time vulnerability scanning, extensive integration capabilities, and developer agility.
Room for Improvement: Black Duck can enhance vulnerability identification accuracy, user interface intuitiveness, and adopt quicker updates to vulnerability databases. Snyk could improve its vulnerability database comprehensiveness, enhance on-premise deployment affordability, and expand library support.
Ease of Deployment and Customer Service: Black Duck provides robust deployment options fit for complex enterprises with strong customer support. Snyk excels in rapid deployment conducive to agile processes and responsive customer service, giving it a slight deployment efficiency advantage.
Pricing and ROI: Black Duck typically requires higher initial costs, justified by its extensive features for enterprise needs. However, it provides significant ROI for those prioritizing comprehensive management. Snyk's competitive pricing caters to startups, offering a swift setup, quick ROI, and lower upfront costs, thus appealing to teams prioritizing speed.
If you're using it on critical external programs where there is regulatory compliance on ensuring that the source code is clean from open-source, there's substantial ROI.
There are some pain points with the response time and first-level support quality.
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.
I would rate the scalability of Black Duck 8 or 9.
Snyk allows for scaling across large organizations, accommodating tens of thousands of applications and over 60,000 repositories.
It can improve on the security side of it, specifically vulnerabilities identification.
There are areas for improvement such as false positives and the scanning of containers.
Black Duck does not have the SBOM management part.
It lacks the ability to select branches on its Web UI, forcing users to rely on CLI or CI/CD for that functionality.
As we are moving toward GenAI, we expect Snyk to leverage AI features to improve code scanning findings.
The inclusion of AI to remove false positives would be beneficial.
Snyk is recognized as the cheapest option we have evaluated.
After negotiations, we received a special package with a good price point.
Black Duck's ability to identify dependencies very accurately has been most valuable in identifying and mitigating risks.
The most valuable feature of Black Duck is the composition analysis feature, which is effective for security risk management.
The software composition analysis is most effective for security risk management.
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.
Organizations use Black Duck for compliance, internal audits, license management, and security, scanning software to identify vulnerabilities, non-compliant code, and dependencies in open-source projects.
Black Duck integrates into CI/CD pipelines and DevSecOps processes, helping multiple industries detect and handle risks associated with open-source usage. Users leverage it for source and binary analysis to ensure security and compliance before software release. Automatic component analysis, effective vulnerability scanning, and a comprehensive knowledge base are some of its valuable features. Despite needing improvements in scanning speed, UI, and documentation, Black Duck remains crucial for ensuring open-source security and compliance.
What are Black Duck's most important features?
What benefits or ROI should users look for in reviews?
Black Duck is implemented by industries ranging from finance to healthcare, addressing security and compliance in open-source usage. Financial institutions employ it to manage license risks and ensure audit readiness. Healthcare organizations use it to comply with stringent data protection regulations, ensuring patient data security and privacy. Tech companies integrate Black Duck within CI/CD pipelines to maintain the security and compliance of software products before release. Its deployment varies, tailored to meet the specific risk management and compliance needs dictated by each sector's regulatory environment.
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.
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.
