According to verified reviews, Datadog excels in providing a comprehensive view of infrastructure and application performance, allowing users to quickly move from detection to action. Reviewers appreciate how it consolidates logs, metrics, and security signals, making it easier to understand complex environments.
Users say that Wireshark stands out for its extensive protocol support, enabling deep packet inspection and real-time traffic monitoring. Many find it invaluable for diagnosing network issues, particularly with VoIP calls, thanks to its accurate timestamping and detailed analysis capabilities.
Reviewers mention that Datadog offers an intuitive user interface that simplifies data insights, with easy setup processes for agents. This ease of use is frequently highlighted, making it a go-to choice for teams looking to get up and running quickly.
G2 reviewers report that while Wireshark has a higher rating for ease of setup and administration, it lacks the recent user engagement seen with Datadog, which has garnered significantly more reviews in the past 90 days, indicating a more active user base.
Users highlight that Wireshark is a powerful tool for network analysis, but some find it challenging to integrate into their existing workflows, especially when compared to the seamless integration options available with Datadog, which supports multiple integrations for quick data access.
According to recent feedback, both products receive similar scores for support quality, but Datadog benefits from a larger community and more frequent updates, which may enhance user experience and satisfaction over time compared to Wireshark.
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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