Datadog vs. Sentry

Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.

Incentivized

[Sentry] is honestly an amazing product. It allows us to detect errors in real time complete with stack traces and any extra accompanying information the developer wants to provide in the alert. With the alerting into Slack it has allowed us to quickly triage and tag in people who need eyes on a specific issue. It would be really useful in any Saas product environment.

Incentivized

• Create Dashboards as per application, environments, and Custom metrics in one panel.
• Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
• Playbooks, SLA definition, success and error quotas, request visualizations.
• DB monitoring, Serverless stack monitoring.
• Alerting of Production incidents so we can quickly resolve the issues on time.

Incentivized

• It collects very detailed information on problems that happen to our users while using the platform
• It supplies very good tools in order to aggregate the collected data and analyze it
• It integrates with Slack, making it easier to "monitor it in real time"

Incentivized

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• if we could decrease the costing via some kind of sampling of errors.
• sometimes same error is in loop and Sentry will count all the events for pricing if there is any way this can be reduced.
• self hosted capabilities or using own storage to reduce cost.

Incentivized

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.

Incentivized

Its incredibly versatile, but that leads to complexity for the uninitiated, which can be intimidating. Nevertheless its a well polished product, in our case leading to only using it for a focus on frontend is still more cost effective than buying a one-to-rule-them-all tool...

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered around many blogs or articles. I would love to have my own Grafana + Prometheus expert to setup all the peices we need but you're paying for expertise there instead of an experience with Datadog.

Incentivized

We actually ended up using both because New Relic is a more robust overall IT infrastructure monitoring product. However, sentry is more developer oriented on the backend and more client friendly on the front end as far as showing results and the dashboard etc. It can provide product level insights that New Relic does not.

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• Error tracking is a must in any modern dynamic website or app. By looking into the error notifications I'm able to fix errors before anyone even has a chance to complain about them!
• Surprisingly, many website issues aren't showing up in Sentry, because they don't trigger exceptions. I'm interested in seeing if I can use Sentry to catch manually-triggered exceptions for "undesirable states" that my website can find itself in. Of course, that means I have to figure out how to have my client code recognize that it's in an undesirable state...

Incentivized