G2 reviewers report that Datadog excels in user experience, with many praising its intuitive interface that simplifies data insights. Users appreciate the ease of integrating various data sources, allowing for quick setup and immediate usability.
Users say that AWS IoT Device Management is straightforward to use, particularly for connecting cloud services and managing device data. However, some find it less flexible compared to Datadog, which may limit its effectiveness in more complex environments.
Reviewers mention that Datadog's implementation process is notably quick, with users highlighting the easy setup of agents and the ability to search logs based on specific labels, making troubleshooting efficient.
According to verified reviews, AWS IoT Device Management has received positive feedback for its device registration and error checking capabilities, but it lacks the depth of features that Datadog offers for comprehensive monitoring and analysis.
G2 reviewers highlight that Datadog's support is responsive and helpful, which enhances the overall user experience. In contrast, while AWS IoT Device Management does provide support, some users feel it could be more robust in addressing complex issues.
Users report that Datadog's ability to consolidate infrastructure, applications, logs, and security signals into one platform significantly improves operational visibility, whereas AWS IoT Device Management, while effective for basic tasks, may not provide the same level of insight for advanced 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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