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.
"Since things are getting more complicated, it is nice to have artificial intelligence to correlate issues and events to come up with root cause."
"The deployment configuration and everything is simple. It is not that complicated."
"The ability to create any dashboard that you want for different levels of reporting for technical people, managers, or even executive level. They can get a one page view of what the system health and performance looks like."
"We have used PurePath data (response times) to improve and tune application performance."
"I am able to customize my dashboard based on the test requirement and it helps me to focus on the area that really needs close monitoring."
"RCA (Root Cause Analysis) and the PurePaths, where you can see the stack trace, are helpful in finding problems."
"No other provider gives us log ingestion, Kubernetes/Docker monitoring, and application monitoring for NodeJS."
"Dynatrace alerts are based on deviations from the reference metrics which are constantly collected."
"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."
"Open source and user friendly."
"One of the most valuable features is that you are able to do a very detailed search through the log messages in the overview."
"The build is stable and requires little maintenance, even compared to some extremely expensive products."
"Real-time UDP/GELF logging and full text-based searching."
"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"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."
"Graylog's search functionality, alerting functionality, user management, and dashboards are useful."
"We have a couple of one page apps that it has a problem with because it doesn't call to the server all the time. I believe part of that is taken care of in the next version."
"If you have many distributed servers, you will need to install or migrate every agent. This can be a problem if you have too many, and it takes time."
"We would like the AI to produce more scientific data with less configuration."
"If Dynatrace is capturing everything in your application, it has to "sense" that information, and that sensing needs sensors which we have to include in our applications. The more you apply sensors - the more details you want - the more you have to increase the level of sensing. If I increase the level of sensing, my application's performance goes down, because something is there that is, again and again, checking each and every thing in the application. So that load on the applications increases. So, many times my applications used to crash because Dynatrace was working on them. We had to remove some sensing; either we had to reduce the sensing or we had to remove Dynatrace immediately."
"We are happy with the server monitoring, but we feel like the application monitoring should be improved."
"Dynatrace has APIs, but they are unfriendly APIs. If they were friendly like Splunk or Sumo Logic had, we might integrate that same data on a single webpage, then start showing these internally."
"It could improve its GUI interface. The GUI design is too crowded and the icons are small. Sometimes I end up clicking on the wrong button."
"We would like to see: * More Integration with cloud services * Simplified licensing * Single pane of glass view * Simplified reporting I* ntegration with ServiceNow and PagerDuty"
"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."
"I hope to see improvements in Graylog for more interactivity, user-friendliness, and creating alerts. The initial setup is complex."
"Lacks sufficient documentation."
"Its scalability gets complicated when we have to update or edit multiple nodes."
"Dashboards, stream alerts and parsing could be improved."
"I would like to see some kind of visualization included in Graylog."
"There should be some user groups and an auto sign-in feature."
"Graylog can improve the index rotation as it's quite a complex solution."
Dynatrace is ranked 4th in Log Management with 341 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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