We performed a comparison between Elastic Observability 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: Elastic Observability is a more comprehensive option with machine learning and custom development, but has a steeper learning curve. Google Cloud's operations suite is praised for its user-friendliness, scalability, and stability, but has mixed opinions on pricing. Elastic Observability is a more economical option for application performance monitoring.
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"We can view and connect different sources to the dashboard using it."
"The architecture and system's stability are simple."
"It's easy to deploy, and it's very flexible."
"I have built a mini business intelligence system based on Elastic Observability."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"The most valuable feature of Elastic Observability is the text search."
"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."
"I like the monitoring feature."
"It's easy to use."
"Provides visibility into the performance uptime."
"Google's technical support is very good."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"We find the solution to be stable."
More Google Cloud's operations suite (formerly Stackdriver) Pros →
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"There could be more low-code features included in the product."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"There is room for improvement regarding its APM capabilities."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"It could be more stable."
"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."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"Lacking sufficient operations documentation."
"The logging functionality could be better."
"It could be even more automated."
More Google Cloud's operations suite (formerly Stackdriver) Cons →
More Google Cloud's operations suite (formerly Stackdriver) Pricing and Cost Advice →
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Google Cloud's operations suite (formerly Stackdriver) is ranked 24th in Application Performance Monitoring (APM) and Observability with 9 reviews. Elastic Observability is rated 7.8, while Google Cloud's operations suite (formerly Stackdriver) is rated 7.8. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". 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". Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Sentry, whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Amazon CloudWatch and Zabbix. See our Elastic Observability vs. Google Cloud's operations suite (formerly Stackdriver) report.
See our list of best Application Performance Monitoring (APM) and Observability vendors, best Log Management vendors, and best Cloud Monitoring Software 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.