

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.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
I can see that Snyk saves the costs of hiring security developers for vulnerability scanning and security checks, as that responsibility is now managed by Snyk.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
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.
We could understand the implementation of the product and other features without the need for human interaction.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
Snyk allows for scaling across large organizations, accommodating tens of thousands of applications and over 60,000 repositories.
Snyk is very scalable and can handle my organization's growth and changing needs.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
These incidents are related to log service, indexes, and metric capturing issues.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
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.
It lacks the ability to select branches on its Web UI, forcing users to rely on CLI or CI/CD for that functionality.
The inclusion of AI to remove false positives would be beneficial.
As we are moving toward GenAI, we expect Snyk to leverage AI features to improve code scanning findings.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
Snyk is recognized as the cheapest option we have evaluated.
After negotiations, we received a special package with a good price point.
Snyk is less expensive.
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.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
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.
Snyk has positively impacted my organization by improving the security posture across all software repositories, resulting in fewer critical vulnerabilities, more confidence in overall product security, and faster security compliance for project clients.
| Product | Market Share (%) |
|---|---|
| Datadog | 6.6% |
| Snyk | 0.4% |
| Other | 93.0% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 95 |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| 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.
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