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.
".NET core and Spring code level analysis helps with root cause analysis."
"The solution offers a better overview of applications. It offers end-to-end monitoring, and the user experience is real."
"We use Dynatrace to help us understand how applications perform in different platforms."
"We are now able to identify the root cause in 15 minutes. It has helped the entire operations of our company."
"Being able to get down to the individual code level to see where transactions are taking time. It has helped troubleshoot issues immensely and other tools can't provide this."
"Automation and anomaly detection has helped reduce MTTR and MTBF."
"From a diagnosing standpoint, it has been a game changer. Before, we did not have monitoring, so anytime there was an issue, it was just guess-and-check."
"We enabled UEM for all of our applications. This allows us to see exactly what the client is experiencing."
"We're using the Community edition, but I know that it has really good dashboarding and alerts."
"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"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."
"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."
"This had increased productivity for the dev and support teams, because we are directly notifying them."
"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."
"Training is required for all of the people who will be using it, and this should not be overlooked. I would even recommend nominating an SME in each of the three areas covered: user behaviour analysis, development, and infrastructure/operations support."
"This tool had a feature of doing load test in production or lower environment, which was shut down earlier this year. We are missing that feature badly and we definitely want to see that feature back."
"The con of Dynatrace is that, at times, because it has so much information, it becomes difficult to see the root cause of your problem, and then you have to dig around to find the root cause."
"For the manage services, they work on CloudWatch logs and are given CloudWatch logs only. I would like more collaboration with AWS and insight into CloudWatch services. This would be valuable, especially when detecting the fault of the root cause analysis. It would make the process go faster."
"Custom reporting is still missing."
"When the tool ingests data from other tools, being able to correlate those with the existing topology, so that the AI engine can draw more conclusions in case Dynatrace does not monitor those instances."
"Scalability-wise, on the data side, I'm really worried because they are giving only seven days data retention. They should plan something on that, to increase the data."
"The scalability is there, but it is a headache when you do a lot of stuff and when you need to compare a lot of servers and do a lot of things. The scalability is very difficult to maintain."
"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."
"I would like to see a default dashboard widget that shows the topology of the clusters defined for the graylog install."
"Dashboards, stream alerts and parsing could be improved."
"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."
"I hope to see improvements in Graylog for more interactivity, user-friendliness, and creating alerts. The initial setup is complex."
"There should be some user groups and an auto sign-in feature."
"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."
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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