We performed a comparison between Dynatrace and Google Cloud's operations suite (formerly Stackdriver) based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Dynatrace is the preferred choice over Google Cloud's operations suite. It has more comprehensive features, better AI capabilities, and offers better visibility for network performance monitoring. Google Cloud's operations suite is user-friendly and scalable, but lacks certain metrics and tools for application logs and automation in the monitoring process.
"Once you are trained on the solution, it's easy to navigate. It's got very good documentation and training offerings."
"From a diagnosing standpoint, it has been a game changer. Before, we did not have monitoring, so anytime there was an issue, it was just guess-and-check."
"We are using Dynatrace for prediction and staging for every step of our development cycle."
"The alerting systems are definitely the most valuable feature. The AI engine, "Davis," has proved to be a game-changer for us, as it helps to alert us when there are anomalies found in our applications or in their performance... letting the Davis engine find those anomalies and push them to the top, especially as they relate to business impact, is very valuable to us."
"Never seen anything so complex be so simple to install."
"Dynatrace Appmon provides us with the ability to proactively identify issues within our systems which could be impacting our customers."
"Dynatrace provides probable root cause for any issues which assists our support team to quickly address issues identified by Dynatrace."
"Since we moved to OneAgent, we are much quicker to address live incidents and problems that occur in our systems."
"Google's technical support is very good."
"It's easy to use."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"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."
"Offers a valuable logging transport feature"
"I like the monitoring feature."
"We find the solution to be stable."
More Google Cloud's operations suite (formerly Stackdriver) Pros →
"This solution needs improvement in terms of automation."
"There is another challenge, which is in case of the Managed solution. In our old solution we could simply export the data as session data, and that would be imported and seen. Now, if we are using the Managed solution, then giving someone access to that solution is a challenge. We can handle it, but it's different than taking screenshots and saving that information the way we used to. The copy/paste features that were there in old application - because it was a fat app - were nice, compared to browser-based app, because you cannot really use those features anymore."
"If the user interface were made more intuitive then it would really benefit the product."
"Getting the EM data, we have to open a browser. Generally, one of the asks from our clients or our engineering team is to change this."
"Some of the APIs and integrations are a bit tougher than others to integrate."
"The Web UI can be slow and hard to understand."
"I would say that this solution's reports are lacking a little bit, and because of this, you have to rely on API to fetch and pull data. I think they could have done a bit of a better job by providing a more user-friendly search from a reporting perspective."
"Adding people to alerts has not been very intuitive. That's really my only negative feedback."
"It could be even more automated."
"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."
"The product provides minimal metrics that are insufficient."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"The logging functionality could be better."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"It is difficult to estimate in advance how much something is going to cost."
"Lacking sufficient operations documentation."
More Google Cloud's operations suite (formerly Stackdriver) Cons →
More Google Cloud's operations suite (formerly Stackdriver) Pricing and Cost Advice →
Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 342 reviews while Google Cloud's operations suite (formerly Stackdriver) is ranked 24th in Application Performance Monitoring (APM) and Observability with 10 reviews. Dynatrace is rated 8.8, while Google Cloud's operations suite (formerly Stackdriver) is rated 8.0. The top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". On the other hand, the top reviewer of Google Cloud's operations suite (formerly Stackdriver) writes "Good logging and tracing but does need more profiling capabilities". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor, whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, New Relic and Elastic Observability. See our Dynatrace vs. Google Cloud's operations suite (formerly Stackdriver) report.
See our list of best Application Performance Monitoring (APM) and Observability vendors and best Log Management vendors.
We monitor all Application Performance Monitoring (APM) and Observability 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.