G2 reviewers report that Datadog excels in user experience, particularly with its intuitive interface that makes it easy to gain insights from data. Users appreciate how simple it is to set up Datadog agents, allowing for quick integration into their environments.
Users say Oracle Enterprise Manager is particularly beneficial for organizations with complex needs, highlighting its ability to maintain high performance while managing system costs effectively. The GUI-based interface is noted for being user-friendly, making it accessible for both new and experienced users.
Reviewers mention that Datadog's comprehensive approach to monitoring, which combines infrastructure, applications, logs, and security signals, allows for a clearer understanding of system health. This integration helps teams move swiftly from detection to action, enhancing operational efficiency.
According to verified reviews, Oracle Enterprise Manager has a strong focus on monitoring capabilities, with users praising its effectiveness in maintaining performance metrics. However, some users feel it may not be as agile in adapting to specific workflow needs compared to Datadog.
Users highlight that while both products offer solid support, Datadog's responsiveness stands out, with many users reporting quick resolutions to their queries. This level of support is crucial for teams that rely on timely assistance to maintain their systems.
G2 reviewers note that while Oracle Enterprise Manager has a solid reputation in the enterprise segment, Datadog's broader appeal in the mid-market is reflected in its higher overall satisfaction scores. This suggests that Datadog may be more adaptable for a wider range of business sizes and needs.
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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