"Its ability to quickly inventory our resources, figure out interdependencies across them, and assemble a topology of your environment is brilliant. There is a price associated with it. Whenever you target a NetApp environment, it is included in the price but whenever you want to add different vendors, like VMware and Cisco, the price greatly spikes. Inventorization helps us a lot to visualize the environment."
"It is good for giving an overview of the systems and for tracking long-term trends. It is handy for root cause analysis, e.g. it can eliminate whether storage is the cause of an issue."
"Among the most valuable features are the queries and reporting that allow us to look at the utilization of resources, at how well the storage is performing, and to report on which resources are being used by which business units. We can track usage across the entire environment, across applications, business units, cost centers, etc."
"Cloud Secure is definitely the most valuable feature and being able to see file level activity. It gives real-time alerting on possible ransomware attacks and provides file security review. It helps us to see if something abnormal is happening on the system before it's too late."
"The solution is sufficiently stable."
"Datadog has given us near-live visibility across our entire cloud platform."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"The most valuable feature of Datadog is its logs."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable."
"The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment."
"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"Google's technical support is very good."
"Provides visibility into the performance uptime."
"When I did need support because I was having problems with the solution, the first or the second line just didn't understand it. They were providing this only on a software as a service basis. So, they were asking all the wrong questions."
"Their pricing model needs improvement."
"In a perfect world we would have something built, right out-of-the-box, that can identify what we call "noise," and reduce the amount of data. You're presented with so much data when you first start the data collectors. For example, it brings back a lot of change rates that happen just because of standard computing, like profile changes and that sort of thing. Being able to identify things like that and categorize them and strip it down—and it probably can do that, I just haven't gotten there yet—would be very beneficial."
"There is room for improving the creating and managing or modifying of reports. That is still a difficult task to do and requires knowledge beyond the storage itself. I would love to see reporting improved so that we can create reports by dragging and dropping pieces into a report form and publish a report that way."
"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."
"In the past two years, there have been a couple of outages."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"The setup was a bit complex."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"I think better access to their engineers when we have a problem could be better."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"It is difficult to estimate in advance how much something is going to cost."
"Lacking sufficient operations documentation."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver."
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Datadog is ranked 2nd in Application Performance Management (APM) with 26 reviews while Google Stackdriver is ranked 15th in Application Performance Management (APM) with 4 reviews. Datadog is rated 8.4, while Google Stackdriver is rated 8.0. The top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". On the other hand, the top reviewer of Google Stackdriver writes "Provides visibility into the performance uptime and the overall health of our cloud applications". Datadog is most compared with Dynatrace, Splunk, ELK Logstash, New Relic APM and AWS X-Ray, whereas Google Stackdriver is most compared with ELK Logstash, AWS X-Ray, Azure Monitor, Splunk and Amazon CloudWatch. See our Datadog vs. Google Stackdriver report.
See our list of best Application Performance Management (APM) vendors, best Log Management vendors, and best Cloud Monitoring Software vendors.
We monitor all Application Performance Management (APM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
