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."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."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"We find the solution to be stable."
"Provides visibility into the performance uptime."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"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."
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"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"The build is stable and requires little maintenance, even compared to some extremely expensive products."
"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."
"Message forwarding through the in-built module."
"Allowing us to set up alerts and integrate with platforms we already use, such as Slack and OpsGenie to alert users of these errors proactively, is also a very useful feature."
"Real-time UDP/GELF logging and full text-based searching."
"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."
"One of the most valuable features is that you are able to do a very detailed search through the log messages in the overview."
"It is difficult to estimate in advance how much something is going to cost."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"The process of logging analytics can be improved"
"Lacking sufficient operations documentation."
"It could be more stable."
"The product provides minimal metrics that are insufficient."
"The logging functionality could be better."
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"Dashboards, stream alerts and parsing could be improved."
"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."
"Its scalability gets complicated when we have to update or edit multiple nodes."
"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-"
"Graylog needs to improve their authentication. Also, the fact that Graylog displays logs from the top down is just ridiculous."
"It would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community."
"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."
"Elasticsearch recommendations for tuning could be better. Graylog doesn't have direct support for running the system inside of Kubernetes, so it can be challenging to fill in the gaps and set up containers in a way that is both performant and stable."
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Google Cloud's operations suite (formerly Stackdriver) is ranked 25th in Log Management with 10 reviews while Graylog is ranked 11th in Log Management with 18 reviews. Google Cloud's operations suite (formerly Stackdriver) is rated 8.0, 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, New Relic and Amazon CloudWatch, whereas Graylog is most compared with Grafana Loki, Wazuh, syslog-ng, Fortinet FortiAnalyzer and Splunk Enterprise Security. See our Google Cloud's operations suite (formerly Stackdriver) vs. Graylog report.
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