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.
"I like the auto email alerting feature the most, as it is set up based on the application error or condition."
"It's great tool for building dashboards related to application performance."
"Performance has improved substantially since we started using it."
"Dynatrace's new AI stuff really out shines its competitors. "
"The solution's ability to assess the severity of anomalies based on the actual impact to users and business KPIs is great. It's exactly what we need. The severity impact is based on the users, the availability, and the impact it has on your business."
"We use the Dynatrace AI to assess impact. Because it links to real users, it is generally pretty correct in terms of when it raises an incident. We determine the severity by how many users it is affecting, then we use it as business justification to put a priority on that alert."
"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."
"The Session Replay not only allows us to watch the user in 4K video, but to see the individual steps happening behind the scenes, from a developer perspective. It gives us every single step that a user takes in a session, along with the ability to watch it as a video playback. We can see each call to every server as the user goes through the site. If something is broken or not running optimally, it's going to come up in the Session Replay."
"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"I like the correlation and the alerting."
"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."
"The product is scalable. The solution is stable."
"Graylog's search functionality, alerting functionality, user management, and dashboards are useful."
"The solution's most valuable feature is its new interface."
"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."
"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."
"The AppMon 6.5 is problematic in configuring. It is little finicky. When we configured the JVM, it did not work."
"Experience with relationship/account manager has been really poor, it does not seem to be the firm's priority to support their customers."
"The business use case is that most people want to see how many orders came in. I'd like to be able to get data out of JavaScript tags, and capture more data. I think that would make it much more useful, rather than using Google Analytics. Instead, have one tool to capture all the stack, that would make it easy."
"The flexibility when it comes to integrating with other tools is very low."
"The dashboard tool needs to be improved. We need more options, because the look and feel is too old-fashioned."
"I would like to see income monitoring for the servers and infrastructure monitoring."
"The messaging layer is not really capturable and measurable right now."
"We are still struggling a bit with finding an answer quickly."
"Graylog needs to improve their authentication. Also, the fact that Graylog displays logs from the top down is just ridiculous."
"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-"
"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 some kind of visualization included in Graylog."
"There should be some user groups and an auto sign-in feature."
"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."
"I would like to see a default dashboard widget that shows the topology of the clusters defined for the graylog install."
"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."
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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