G2 reviewers report that Datadog excels in user satisfaction, boasting a significantly higher overall score compared to OpsRamp. Users appreciate the platform's ability to integrate infrastructure, applications, logs, and security signals into a single view, which enhances their operational awareness.
According to verified reviews, Datadog's implementation process is praised for its simplicity, with users noting that setting up agents is straightforward and quick. This contrasts with OpsRamp, where some users have expressed challenges in configuration and setup.
Users say that Datadog's user interface is highly intuitive, making it easy to extract insights from data. In comparison, while OpsRamp also offers a user-friendly interface, some users feel it lacks the same level of intuitiveness, which can affect day-to-day usability.
Reviewers mention that Datadog provides robust support, with many users highlighting the responsiveness of the support team. OpsRamp, while also noted for its customer service, has received mixed feedback regarding the quality and timeliness of support, indicating room for improvement.
G2 reviewers highlight that Datadog's extensive integration capabilities allow for seamless data ingestion, making it ready for use in just a few clicks. OpsRamp, on the other hand, is recognized for its ability to monitor diverse IT environments but may not match Datadog's ease of integration.
According to recent user feedback, Datadog's ability to correlate data across various sources is a standout feature, enabling quick detection and action. OpsRamp does provide valuable monitoring capabilities, but some users feel it doesn't offer the same depth of insight, particularly in complex 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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