G2 reviewers report that Datadog excels in user experience, with many praising its intuitive interface that simplifies data insights. Users appreciate the ease of setting up Datadog agents, highlighting how quickly they can get started with multiple integrations.
Users say that Oracle Logging Analytics offers strong performance in security and availability, making it a reliable choice for enterprises. The machine learning capabilities are particularly noted for reducing manual efforts in data analysis, which can be a significant advantage for teams handling large volumes of logs.
Reviewers mention that Datadog's ability to consolidate infrastructure, applications, logs, and security signals into one platform enhances operational visibility. This integration allows teams to swiftly move from detection to action, a feature that many find invaluable in fast-paced environments.
According to verified reviews, Oracle Logging Analytics shines with its smart clustering and correlation features, which help in the effective correction of logs. This capability is particularly beneficial for users looking to streamline their log management processes.
G2 reviewers highlight that while both products have similar star ratings, Datadog's significantly higher G2 Score reflects a broader base of satisfied users, with many recent reviews praising its responsive support and overall satisfaction with the product.
Users report that Datadog's features for tracking trends and detecting anomalies are particularly robust, with many finding the alerting system effective in maintaining operational integrity. In contrast, Oracle Logging Analytics, while strong in certain areas, has fewer recent reviews, which may indicate less current user engagement.
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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