G2 reviewers report that Datadog excels in providing a comprehensive view of infrastructure, applications, logs, and security signals all in one place. Users appreciate how this integration simplifies the process of moving from detection to action, making it easier to understand complex environments.
Users say that Splunk APM delivers high-quality data that helps catch even the smallest technical issues, which is particularly valued by QA and engineering teams. This capability enhances the overall reliability of applications, ensuring that critical problems are not overlooked.
Reviewers mention that Datadog's user interface is intuitive, allowing for easy navigation and insights from data. Many users highlight the simplicity of setting up Datadog agents and the multiple integrations that make it ready to use quickly, which contributes to a smoother onboarding experience.
According to verified reviews, Splunk APM is praised for its log monitoring capabilities, enabling users to easily search, analyze, and visualize application logs. This feature is particularly beneficial for teams that require detailed insights into application performance.
G2 reviewers highlight that while Datadog has a strong overall satisfaction score, it faces challenges in specific areas like ease of use compared to Splunk APM. Users have noted that while Datadog is powerful, it can sometimes be complex to configure for specific workflows.
Users report that Datadog's support is responsive and helpful, which is a significant advantage for teams needing assistance. In contrast, while Splunk APM has received high marks for support quality, the overall user experience may not be as seamless as that of Datadog, particularly for new users.
Datadog is a software platform that facilitates data sharing across various teams within an organization, thereby breaking down silos between development,...Read more
Does Datadog use AWS?
2 Comments
IG
Yes, the backbone of Datadog infrastructure is sitting within AWS.Read more
Does it preserves history of logs?
1 Comment
AN
Depends on your plan, log retention can be 7,15, 30 days etc, for long term you need to setup s3 archivingRead more
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