We performed a comparison between AWS X-Ray 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: Google Cloud's operations suite is commended for its ease of use, scalability, stability of logging and tracing, and impressive cloud logging feature, making it the preferred solution. While AWS X-Ray is noted for its ability to quickly identify errors, users suggest that log filtering could be better and the user interface could be easier to configure. AWS X-Ray's pricing is based on usage and is relatively affordable, while Google Cloud's operations suite has mixed opinions on pricing and licensing.
"The most important one is compliance. We're able to achieve our regulatory levels. We're able to achieve the security level that we need for the federal government."
"AWS X-RAY identifies bottlenecks in terms of stability and performance and how long certain data lives in terms of response time and duration."
"It is a very scalable solution."
"The most promising feature of AWS X-Ray is that you can debug the issues through the proper logs. You can also get an analysis out of the logs for some use cases, though I have yet to try all the features of AWS X-Ray."
"AWS X-Ray is a strong solution and has a smooth integration process."
"We find the solution to be stable."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"I like the monitoring feature."
"It's easy to use."
"Like most Amazon products, the user interface, configuration, and tuning aren't the easiest. That's the biggest reason why people tend to go to products like TerraForm and Terragrunt. We use TerraForm and Terragrunt. So, for setting things up and interacting with X-Ray, it's definitely the user interface that can be better."
"If you have a small team, it's probably overkill."
"They can improve how traces are sent to other providers."
"What needs to be better in AWS X-Ray is the log filtering. Predefined filters could be helpful because the power of analytics comes from how you can filter the data. I also want to see more KPIs from AWS X-Ray."
"I do not have any notes in terms of improvements."
"The product provides minimal metrics that are insufficient."
"It could be even more automated."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"It could be more stable."
"The logging functionality could be better."
AWS X-Ray is a powerful debugging and performance analysis tool offered by Amazon Web Services. It allows developers to trace requests made to their applications and identify bottlenecks and issues.
With X-Ray, developers can visualize the entire request flow and pinpoint the exact location where errors occur. It provides detailed insights into the performance of individual components and helps optimize the overall application performance.
X-Ray integrates seamlessly with other AWS services, making it easy to trace requests across different services and identify dependencies. It also offers a comprehensive set of APIs and SDKs, enabling developers to instrument their applications and capture valuable data for analysis. With its user-friendly interface and powerful features, AWS X-Ray is a valuable tool for developers looking to improve the performance and reliability of their applications.
Real-time log management and analysis
Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.
Built-in metrics observability at scale
Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.
Stand-alone managed service for running and scaling Prometheus
Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.
Monitor and improve your application's performance
Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.
AWS X-Ray is ranked 12th in Application Performance Monitoring (APM) and Observability with 5 reviews while Google Cloud's operations suite (formerly Stackdriver) is ranked 20th in Application Performance Monitoring (APM) and Observability with 5 reviews. AWS X-Ray is rated 8.2, while Google Cloud's operations suite (formerly Stackdriver) is rated 7.8. The top reviewer of AWS X-Ray writes "Saves time, is relatively cheap, and helps find errors". 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". AWS X-Ray is most compared with Datadog, Azure Monitor, New Relic, Sentry and Prometheus, whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with Datadog, Azure Monitor, Grafana, Amazon CloudWatch and New Relic. See our AWS X-Ray vs. Google Cloud's operations suite (formerly Stackdriver) report.
See our list of best Application Performance Monitoring (APM) and Observability 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.