G2 reviewers report that Datadog excels in user experience, particularly highlighting its intuitive interface and ease of setup. Users appreciate how quickly they can integrate various data sources, with one reviewer noting, "getting data into Datadog is quite simple due to the multiple integrations."
Users say that Elastic Stack offers impressive speed and flexibility, especially with its data visualization capabilities. Reviewers commend Kibana for its fast data fetching and the ease of converting visualizations into reports, making it a strong choice for those focused on real-time analytics.
According to verified reviews, Datadog's comprehensive approach to monitoring—bringing together infrastructure, applications, logs, and security signals—makes it easier for teams to understand their environments. One user mentioned, "Datadog brings everything together in one place," which enhances operational efficiency.
Reviewers mention that while Elastic Stack shines in search and analytics, some users find it less user-friendly compared to Datadog. The setup process can be more complex, with one user indicating that they faced challenges in configuration, which may hinder quick adoption.
G2 reviewers highlight that Datadog's support is responsive and helpful, contributing to a positive user experience. Users have noted that their teams rely on Datadog daily, appreciating the quality of assistance they receive when needed.
Users report that while both platforms have strong capabilities, Datadog's overall satisfaction ratings are significantly higher, reflecting a more favorable user experience. With a G2 Score of 89.25, it stands out as a preferred choice for many, especially in mid-market segments.
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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