We performed a comparison between Dynatrace and Graylog based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Dynatrace is highly regarded for its advanced AI engine and ability to identify infrastructure automatically. It also offers session replay and impressive visualization features. Graylog stands out with its exceptional search functions, seamless integration with Elasticsearch, and real-time data access. Some Dynatrace reviewers feel the learning curve is a little steep, and the documentation could be clearer. Users say that Dynatrace should offer more security options and improve integration with other tools. Graylog could benefit from additional customization options and an improved rule-creation process.
Service and Support: Users generally found Dynatrace's customer service to be helpful and available, but some said that the response times and documentation have room for improvement. Graylog's customer service is generally well-regarded, with reviewers noting effective solutions and satisfactory experiences. While response times may differ, Graylog's support is considered superior compared to that of other products.
Ease of Deployment: Dynatrace's setup is simple, efficient, and requires minimal technical configuration. It takes a few hours at most. Some Graylog users said the setup was easy. Other reviewers faced challenges, but these were easily resolved with help from the vendor’s support staff. Graylog is easier to set up in smaller environments, but it could get complicated in large clusters.
Pricing: Users say Dynatrace is expensive. Some noted that the licensing model is complicated and not transparent. Some said they struggled to accurately predict the number of units needed. Graylog offers an enterprise edition and an open-source option with a daily capacity restriction. Some users said that data costs can be expensive.
ROI: Dynatrace users said the solution saved them money and reduced downtime. Dynatrace users said the solution saved them money and reduced downtime. Graylog can offer some cost savings. The precise ROI may vary depending on the organization’s size and use case.
"We had a very quick turnaround, and it solved our problems. We get more insights into what our code is doing, where the bottlenecks are. The tool helps us to find the root cause much faster than other tools in the market. Our team can then work with the engineering team to fix the problems at a much faster rate."
"Quick availability of multiple aspects of performance from infrastructure to application layers."
"We use it for monitoring all the applications in our bank, and it works fantastically."
"Never seen anything so complex be so simple to install."
"It helps to show where the problem is and isolates the issue."
"The dashboard allows us to monitor and proactively act upon any breaches in the threshold for our infrastructure."
"It helps to improve code efficiency and has quicker performance analysis."
"Dynatrace helps us to improve overall performance and allows us to detect the root cause of an outbreak on our systems."
"Open source and user friendly."
"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."
"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."
"UDP is a fast and lightweight protocol, perfect for sending large volumes of logs with minimal overhead."
"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"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."
"Storing logs in Elasticsearch means log retrieval is extremely fast, and full text search is available by default."
"We're using the Community edition, but I know that it has really good dashboarding and alerts."
"Graphically, it is not good."
"sometimes it happens that we are not able to capture things. For example, if a person is logged in from India, from the city of Mumbai, and is using a Chrome browser, and his email ID is xyz@abc.com. But what happens is, Dynatrace just fetches two pieces of the information, not all of it. Sometimes it gets it all, sometimes it doesn't."
"It definitely needs HA, because we have so many applications that are dependent on AppMon that it has been deemed critical. Any downtime, it just affects so many users. So that's one of our key asks for the future."
"The solution could improve on integration, cloud services, and making the configuration less difficult."
"So far, we have not achieved the benefit of preventing issues."
"We have a load testing team, they completely rely on the reporting for analyzing the data. They should have a template to create a report and they should have something to auto-deliver the report into your email box."
"Support for cloud-based environments needs to be improved."
"Definitely something to be improved is that OneAgent runs as a route, and not all applications want to run as route. Part of the problem is different technology companies will have various rules, regulations, and policies around what can run as a route."
"More customization is always useful."
"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."
"The infrastructure cost is the main issue. I like the rest. If the infrastructure costs could be lower, it would be fantastic."
"With technical support, you are on your own without an enterprise license."
"Lacks sufficient documentation."
"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."
"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-"
"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."
Dynatrace is ranked 4th in Log Management with 340 reviews while Graylog is ranked 11th in Log Management with 18 reviews. Dynatrace is rated 8.8, while Graylog is rated 8.0. The top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". 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". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor, whereas Graylog is most compared with Grafana Loki, Wazuh, syslog-ng, Splunk Enterprise Security and Fortinet FortiAnalyzer. See our Dynatrace vs. Graylog report.
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