Datadog vs. NetApp Cloud Insights

If I want to see what customers are doing wrong in their sessions, we can do that easily. On the other hand, if we want to know the payload in the API calls, that is the area where Datadog can improve.

Incentivized

For example, we had an application slowdown. It looked like the slowdown was storage. However, it was a malformed SQL query that no one realized was pulling data from the storage location that also housed the application. Cloud Insights saved us hours of downtime and frustration. Cloud Insights pinpointed which system was hogging resources. What makes Cloud Insights special is the way it looks at the data collected from the data sources. The insights it provides into the flow of data; sheds new light on how things work in your environment.

Incentivized

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• The visibility and usage optimization are the most valuable features.
• Ease to use for basic functionality.
• It is good for giving an overview of the systems and for tracking long-term trends. It is handy for root cause analysis.

Incentivized

• In my experience, .NET Tracing Agent caused severe and untraceable performance issues
• In my opinion, usage and billing structures were opaque and surprising
• In my experience, documentation was incomplete, contradicting or sometimes completely wrong, even for common infrastructure (AWS Fargate)
• I feel support was unhelpful at times, and bounced us back and forth to other teams
• In my opinion, multiple methods of sample rate control were ineffective, adding to excessive usage and cost

Incentivized

• Need to add more cloud resources for optimization, as many are still not compatible
• Data retention time is limited.
• Premium subscription is costly.

Incentivized

Its a one stop solution for most processes and does reduce cost overall. This does in turn help teams communicate in a much more efficient way, also RUM is a game changer for any quality product; we use RUM alot for debugging and reverse engineering issues. Reports and coverage has been a plus, it all has helped us a lot in our processes.

Incentivized

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

I have been extremely happy with its usability. You can take thins as they are out of the box and it is useful. You can carry it as far as you want to go and every step you take improves your ROI.

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

1. It's very easy to contact the customer support service, and they seem to be very happy to help at any time.
2. Timeliness of the support's response. Support is very active when responding to the customer's complaint or queries.
3. Technical support always provided the solutions to the problems encountered.
4. Overall customer support quality is good.

Incentivized

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

Incentivized

In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, logs, tracing, alerting, and dashboards—all tightly integrated. In contrast, Elasticsearch often felt barebones and required considerable setup and additional tooling (like Kibana or Logstash) to reach the same level of functionality.
While Elasticsearch is excellent for high-volume log ingestion and full-text search, it lacks the depth of features and real-time visualization capabilities that Datadog provides natively. The query language in Datadog is also quite usable and comparable for my needs—mainly filtering and aggregating logs and metrics—without needing to learn Elasticsearch's more complex DSL. Overall, Datadog saves our team time and effort, whereas Elasticsearch often felt like building a monitoring system from scratch. The all-in-one nature of Datadog, despite its complexity, is ultimately more efficient and scalable for our use case.

Incentivized

For a while, we were using Zabbix to monitor our Kubernetes applications and microservices on our infrastructure in more than one public cloud platform. Cloud Insights has much better visualized dashboards. In addition, despite such a large number of quality features, it's still priced competitively.

Incentivized

Once you install the acquisition unit and start collecting data, you can immediately begin using it. It is very self-explanatory and helpful. I could have used Cloud Insights without working with the NetApp Cloud Insights support team. I am glad I engaged them though. They helped me carry Cloud Insights to a new level and it fast-tracked the process that would have taken me time to complete.

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

• Performance and security have improved
• Cloud Secure lets you get real-time alerts on any security breach, like a ransomware attack or something similar
• You can easily notice if something weird is happening on the cloud and later prevent that

Incentivized