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 architecture and system's stability are simple."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The solution has been stable in our usage."
"The price is very less expensive compared to the other solutions."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"Good design and easy to use once implemented."
"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."
"Provides visibility into the performance uptime."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"I like the monitoring feature."
"Google's technical support is very good."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"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."
"We find the solution to be stable."
"It's easy to use."
More Google Cloud's operations suite (formerly Stackdriver) Pros →
"More web features could be added to the product."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"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."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"Elastic Observability’s price could be improved."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"Elastic Observability needs to have better standardization, logging, and schema."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"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."
"It could be more stable."
"It could be even more automated."
"It is difficult to estimate in advance how much something is going to cost."
"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."
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 21st 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, Datadog and Sentry, whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Grafana and Dynatrace. 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.