We performed a comparison between Google Cloud's operations suite (formerly Stackdriver) and Graylog based on real PeerSpot user reviews.
Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's easy to use."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"I like the monitoring feature."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"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."
"We find the solution to be stable."
"Google's technical support is very good."
More Google Cloud's operations suite (formerly Stackdriver) Pros →
"We have scaled from a single machine installation (a VM with a Graylog + ES + MongoDB) to (2 Graylog + 2 ES + 3 MongoDB). This was done smoothly with a minimal impact on logging."
"The best feature of Graylog is the Elasticsearch integration. We can integrate and we can run filters, such as an event of interest, and those logs we can send to any SIEM tool or as an analytic. Additionally, there are clear and well-documented implementation instructions on their website to follow if needed."
"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"This had increased productivity for the dev and support teams, because we are directly notifying them."
"Graylog's search functionality, alerting functionality, user management, and dashboards are useful."
"Real-time UDP/GELF logging and full text-based searching."
"We run a containerized microservices environment. Being able to set up streams and search for errors and anomalies across hundreds of containers is why a log aggregation platform like Graylog is valuable to us."
"Storing logs in Elasticsearch means log retrieval is extremely fast, and full text search is available by default."
"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 logging functionality could be better."
"Lacking sufficient operations documentation."
"It could be more stable."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"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."
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"Lacks sufficient documentation."
"I would like to see a date and time in the Graylog Grok patterns so that I can save time when searching for a log. I like how the streams and the search query work, but adding a date and time will allow me to pull out a log in a milli-second."
"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."
"Since container orchestration systems are popular and Graylog fits the niche well, perhaps they could officially support running in docker containers on Kubernetes as a StatefulSet as a use case. That way, the declarative nature of Kubernetes config files would document their best case deployment scenario-"
"With technical support, you are on your own without an enterprise license."
"Graylog can improve the index rotation as it's quite a complex solution."
"We ran into problems with Elasticsearch throwing a circuit-breaking exception due to field data size being too large. It turned out that the heap size directly impacted this size in a high-throughput environment, causing unexplained instability in Graylog. We were able to troubleshoot on the Elasticsearch size, but we should have been able to reference some minimum requirements for Graylog to know that our settings weren't sufficient."
"It would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community."
More Google Cloud's operations suite (formerly Stackdriver) Pricing and Cost Advice →
Google Cloud's operations suite (formerly Stackdriver) is ranked 27th in Log Management with 9 reviews while Graylog is ranked 11th in Log Management with 18 reviews. Google Cloud's operations suite (formerly Stackdriver) is rated 7.8, while Graylog is rated 8.0. The top reviewer of Google Cloud's operations suite (formerly Stackdriver) writes "Good logging and tracing but does need more profiling capabilities". On the other hand, the top reviewer of Graylog writes "Great detailed search features and easy Java integration, but needs improvement in integration with Python". Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Amazon CloudWatch and Grafana, whereas Graylog is most compared with Grafana Loki, Wazuh, syslog-ng, Splunk Enterprise Security and Fortinet FortiAnalyzer. See our Google Cloud's operations suite (formerly Stackdriver) vs. Graylog report.
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We monitor all Log Management 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.
