![Bertrand P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bertrand P.")
BP

Bertrand P.

Senior Product &amp; Digital Transformation Leader

Retail

Enterprise (\> 1000 emp.)

6/26/2026

"Faster incident detection and root-cause analysis, leading to better customer experience."

4.5/5

What do you like best about Datadog?

As a product manager what I like most about Datadog is how it centralizes observability for complex systems in a single platform. It brings metrics, logs, traces, and alerts together in one place, making it much easier to understand overall system health and troubleshoot issues quickly for runners and support teams. Onboarding tech teams is easy.

Its real-time monitoring and alerting are especially valuable because they help detect incidents early and improve response times. I also appreciate the breadth and depth of integrations with cloud providers, infrastructure tools, and application services, which makes Datadog adaptable across different architectures.

Depending the implementation the price can evolve but you are fully mastering the cost.

Overall, it delivers strong visibility and control over system performance, which feels essential in modern distributed environments at scale. Perspectives to use it coupling with AI support agent is a plus to prepare the future. Review collected by and hosted on G2.com.

What do you dislike about Datadog?

The tool provide insights and data but teams have to spend significant time interpreting what action should be taken. Review collected by and hosted on G2.com.

What problems is Datadog solving and how is that benefiting you?

It centralizes application supervision and infrastructure monitoring, helping detect incidents faster. It also makes it easier to understand root causes and improve digital reliability. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

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