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."Google's technical support is very good."
"I like the monitoring feature."
"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."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"It's easy to use."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"Provides visibility into the performance uptime."
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"The solution's most valuable feature is its new interface."
"What I like about Graylog is that it's real-time and you have access to the raw data. So, you ingest it, and you have access to every message and every data item you ingest. You can then build analytics on top of that. You can look at the raw data, and you can do some volumetric estimations, such as how big traffic you have, how many messages of data of a type you have, etc."
"We're using the Community edition, but I know that it has really good dashboarding and alerts."
"The ability to write custom alerts is key to information security and compliance."
"This had increased productivity for the dev and support teams, because we are directly notifying them."
"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."
"UDP is a fast and lightweight protocol, perfect for sending large volumes of logs with minimal overhead."
"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."
"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."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"The logging functionality could be better."
"It could be more stable."
"It is difficult to estimate in advance how much something is going to cost."
"It could be even more automated."
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"Graylog could improve the process of creating rules. We have to create them manually by doing parses and applying them. Other SIEM solutions have basic rules and you can create and get more events of interest."
"It would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community."
"Over six months, I had two similar issues where searches were performed on field "messages". It exhausted all the memory of the ES node causing an ES crash and a Graylog halt."
"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."
"I would like to see some kind of visualization included in Graylog."
"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."
"The infrastructure cost is the main issue. I like the rest. If the infrastructure costs could be lower, it would be fantastic."
"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."
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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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