"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."
"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."
"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."
"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."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"The solution is sufficiently stable."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"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."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"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."
"Provides visibility into the performance uptime."
"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."
"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."
"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."
"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."
"The setup was a bit complex."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"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."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"It is difficult to estimate in advance how much something is going to cost."
"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."
"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."
Earn 20 points
Monitor and optimize all your organization's infrastructure even while working from home. Sign up for the 30-day trial to see how NetApp Cloud Insights helps to maintain availability, optimize cloud spend, and identify data security threats.
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, ELK Logstash, Splunk, 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.
