G2 reviewers report that Datadog excels in providing detailed log traces, allowing users to search for specific logs based on labels and facets. This feature enhances the ability to quickly diagnose issues, making it a strong choice for teams that prioritize in-depth monitoring.
Users say Azure IoT Central stands out for its rapid customization capabilities, particularly with dashboards and connectors. Reviewers appreciate how quickly they can tailor the platform to their needs, which is beneficial for businesses looking for flexibility in their IoT solutions.
According to verified reviews, Datadog's user interface is noted for its intuitiveness, making it easy for users to gain insights from their data. This ease of use is a significant advantage for teams that may not have extensive technical expertise.
Reviewers mention that Azure IoT Central provides a comprehensive suite of tools in one place, which simplifies the management of IoT devices. Users find this all-in-one approach particularly helpful for streamlining their operations and reducing the need for multiple platforms.
G2 reviewers highlight that while both platforms have similar ease of setup scores, Datadog's implementation process is often described as straightforward, with users noting that setting up agents is quick and hassle-free, which can be a crucial factor for teams under tight deadlines.
Users report that Datadog's support is responsive and helpful, which is a significant plus for organizations that require ongoing assistance. In contrast, while Azure IoT Central also offers good support, some users feel that Datadog's responsiveness gives it an edge in customer service.
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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