G2 reviewers report that Datadog excels in overall user satisfaction, boasting a significantly higher G2 Score compared to DataSet. Users appreciate the platform's ability to integrate infrastructure, applications, logs, and security signals, making it easier to understand complex environments.
Users say that Datadog's user interface is highly intuitive, which facilitates quick insights from data. One reviewer highlighted how easy it is to search for specific logs based on labels and facets, enhancing the overall usability of the tool.
According to verified reviews, DataSet (by SentinelOne) offers a competitive pricing model and is praised for its fast data ingestion and querying capabilities. Users find its interface easy to navigate, which helps in quickly identifying root causes of issues.
Reviewers mention that while Datadog has a robust feature set, it faces challenges in meeting specific workflow needs for some users, particularly regarding configuration. This contrasts with DataSet, where users report a smoother integration process with both server and client setups.
Users highlight that Datadog's support is responsive, but it does not match the high praise that DataSet receives for its quality of support. DataSet users have noted exceptional assistance, contributing to a more positive experience overall.
G2 reviewers indicate that Datadog's implementation process is generally quick and straightforward, with many users appreciating the ease of setting up agents. In comparison, while DataSet also offers a user-friendly setup, it lacks the extensive integrations that Datadog provides, which can limit its flexibility in diverse environments.
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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