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.
"In my experience, Dynatrace is scalable."
"You don't have to configure it. It just needs to be installed."
"We started monitoring our VMware hypervisors and that gave us valuable system specific metrics into our virtual environments."
"The initial setup was straightforward."
"The most valuable feature is that we can see every database call executed from Java applications."
"We leverage on Dynatrace technology to trace and identify issues in the test environment before launching to production."
"By using Dynatrace Managed, we have improved customer satisfaction and have also helped internal teams and subcontractors make the application more stable."
"We're able to pinpoint web and mobile interface issues before they trigger a negative customer experience."
"Everything stands out as valuable, including the fact that I can quantify and qualify the logs, create pipelines and process the logs in any way I like, and create charts or data maps."
"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."
"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."
"The solution's most valuable feature is its new interface."
"The product is scalable. The solution is stable."
"I like the correlation and the alerting."
"There should be more visibility for network performance monitoring. There should be more metrics for things like 5G and IoT. That would be the main thing because they've moved more to mobile performance rather than fixed networks."
"It needs certain UI changes to make going back to certain Windows easier. Certain windows open up in a different category with different set values and throw you off if you are not used to it."
"Its infra monitoring is not that good. They are mainly into the APM environment, such as network monitoring and other things. Strong end-to-end infrastructure monitoring is missing. SNMP monitoring is currently not very good in this solution."
"I would like to have something more along the lines of the old DC RUM, because we have lot of clients with old technologies, legacy technology, and we really want to integrate it with Dynatrace so that they can use just one single product. So, it needs better integration with legacy products."
"I would say it's not scalable, because we've had to move large applications that were in a shared environment to their own separate Dynatrace server instance."
"It is necessary to improve the integration with the product, Oracle Siebel."
"There's no download action for the reports, so if they could add something like that, it would add value for us. We cannot save data for more than seven to 10 days, so it would be better to add a feature for downloading. At least we could store the data and then we could compare for ourselves, where we are starting and where we are and where we are heading. I would have those metrics."
"The AppMon 6.5 is problematic in configuring. It is little finicky. When we configured the JVM, it did not work."
"Graylog needs to improve their authentication. Also, the fact that Graylog displays logs from the top down is just ridiculous."
"I would like to see some kind of visualization included in Graylog."
"I hope to see improvements in Graylog for more interactivity, user-friendliness, and creating alerts. The initial setup is complex."
"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."
"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-"
"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."
"Graylog can improve the index rotation as it's quite a complex solution."
"Lacks sufficient documentation."
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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