An honest Datadog review
December 18, 2025

An honest Datadog review

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Datadog

I use Datadog for different reasons, and they are: (1) to monitor my cloud (infrastructure) resources (as I have multiple platforms deploy on different cloud providers); (2) to test my SaaS application (mostly API) from different regions (a multi-location test check); (3) to check APM (Application Performance Monitoring) to identify bottlenecks and which API region is slow (in order to investigate why it is slow) and finally (4) I am moving my Grafana SLIs/SLOs into Datadog to have all observability in one tool.

Pros

  • Cloud (Infrastructure) Monitoring
  • Synthetic tests (Multi Location Tests)
  • APM (Application Performance Monitoring)
  • SLIs/SLOs track

Cons

  • Log Management (cost related)
  • APM (cost related)
  • Security (SIEM)
  • Easy to replicate cloud infrastructure monitors
  • Easy to set up APM
  • Easy to set up SLIs/SLOs
I think Datadog is usable once you get the hang of it. It is such a powerful tool that you need to understand where you are and what are the possible options that are available to you before you can start to rock with it. I mean, the Monitor creation is quite easy once you understand the web page and the formula field. The APM is easy to set up once you read some of the Datadog documentation and create your first APM. And these two are already very important and helpful to have in place as they provide the right information to your NOC/SOC team about a problem, which then the team can use to drill down to history data to understand why the monitor was triggered. This helps a lot to create discussions and root cause the issue. I love it.
I use Datadog because it concentrates all these features into a single tool, facilitating the learning curve that my platform and development engineering team needs in order to be able to set up the monitors/alerts/SLIs/SLOs as well as to diagnose a production issue. Its easier to diagnose the production issue when you have all the data inside the same tool, and you don't have to open different tools in order to start to investigate the production issue and then you have to correlate the data between these different tools. I strongly believe that once your team becomes more mature, and wants to provide optimal support to production, the use of a single tool for that becomes critical for success.

Do you think Datadog delivers good value for the price?

Yes

Are you happy with Datadog's feature set?

Yes

Did Datadog live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Datadog go as expected?

Yes

Would you buy Datadog again?

Yes

Datadog is well suited for cloud infrastructure monitoring, where you can create monitors to track the health of cloud resources and if the monitor is triggered you can then notify different teams like your NOC/SOC team. Another case were Datadog is well suited is for APM (Application Performance Monitor) where you can create SaaS platform checks and use Datadog edge servers to execute them for you, testing latency, performance, and finding problems on different regions.
Now, the use cases were Datadog is less appropriate is for Log Management, as the retention of logs and the creation of log indexes can consume a lot of money in a short period of time. So if you are not aware of it, consider this as food for thought!

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