Datadog vs. Snyk

Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.

Incentivized

Scenarios Where Snyk Is Well-Suited CI/CD Pipeline Integration (Node.js, Python, etc.) Container Security Open Source License Compliance Infrastructure as Code (IaC) SecurityScenarios Where Snyk May Be Less Appropriate Scanning Proprietary or Custom Code for Unknown Vulnerabilities Complex Monorepos with Custom Build Tools Organizations Requiring Custom Security Rules Advanced Security Teams Needing Correlation and Deep Triage.

Incentivized

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• Helps in dependency management
• SAST - Static Application Security Testing
• Infra Code Scan ( Terraform , Cloud Formation , Docker image scan)
• OSSG

Incentivized

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• The tool itself has many capabilities but using them operationally within the platform on a day to day basis for managing vulnerabilities is not a good experience.
• Our company was in desparate need of a tool to help us manage vulnerabilities so we could achieve a SOC 2 assurance report without findings.

Incentivized

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

Developer-Centric Design - Snyk integrates directly into IDEs (like VS Code and IntelliJ), CI/CD pipelines, GitHub/GitLab, and container registries. Clear, Actionable Vulnerability report issues are categorized by severity.


Reports include fix recommendations, pull request suggestions, and links to remediation advice.

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

Incentivized

Unfortunately, neither cover all of the use cases that we would like so we need to use both but they are both excellent tools as part of our vulnerability management. We find that Snyk helps us better with improving our MTTR of identified vulnerabilities when compared to inspector but that may be more based on how we have implemented both tools

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• Increased developer experience
• Better productivity due to shift left as Vulnerabilities are caught earlier in the SDLC process
• Improved Vulnerability Management
• Common dashboard for various stages in CI/CD

Incentivized