Datadog and Snyk compete in the distinct categories of system monitoring and security analysis. While both have unique strengths, Datadog holds an upper hand in monitoring due to its comprehensive features, and Snyk excels in security with its excellent integration for vulnerability mitigation.
Features: Datadog offers customizable dashboards, robust cloud platform integrations, and easy setup for alerts. Snyk provides integrations with developer tools, real-time security vulnerability updates, and the ability to analyze containers and code for vulnerabilities.
Room for Improvement: Datadog could improve by handling large data sets more efficiently and simplifying interfaces for novices. Snyk can enhance its notification system and expand language support while offering better licensing compliance options.
Ease of Deployment and Customer Service: Datadog is known for its straightforward deployment in cloud environments, and Snyk offers flexible deployment options. Both receive praise for customer service, with Datadog's support being variable and Snyk noted for its effective responses.
Pricing and ROI: Datadog's pricing is complex as usage scales but offers substantial ROI due to its visibility features. Snyk is a premium product that is considered valuable for its security focus, though pricing can be a concern for startups.
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.
We could understand the implementation of the product and other features without the need for human interaction.
Snyk allows for scaling across large organizations, accommodating tens of thousands of applications and over 60,000 repositories.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
There should be a clearer view of the expenses.
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.
The setup cost for Datadog is more than $100.
After negotiations, we received a special package with a good price point.
Snyk is less expensive.
Snyk is recognized as the cheapest option we have evaluated.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
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.
I appreciate the UI. It is simple, fast, and I value the precision in the tests.
Product | Market Share (%) |
---|---|
Datadog | 7.4% |
Snyk | 0.3% |
Other | 92.3% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 9 |
Large Enterprise | 21 |
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
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.
We monitor all Application Performance Monitoring (APM) and Observability 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.