We performed a comparison between Datadog and Graylog based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Datadog users like its customizable displays, error tracking, and advanced AI/ML capabilities. Graylog stands out with its exceptional search functions, seamless integration with Elasticsearch, and real-time data access. Datadog could enhance its usability and reduce its learning curve. Users said integration was another pain point. Graylog could benefit from additional customization options and an improved rule-creation process.
Service and Support: While many users spoke highly of Datadog’s support team, others reported slow support, especially in the Asia-Pacific region. 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: Datadog’s setup is considered straightforward, and users often receive help from a partner or vendor. 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: Opinions about Datadog's price are divided. Some users found it costly, but others thought it was acceptable. Some said the pricing model could be clearer and better explained. 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: Users said Datadog saved them time and improved visibility into security blind spots. Graylog can offer some cost savings. The precise ROI may vary depending on the organization’s size and use case.
"Dashboards and their versatility are among the most valuable features."
"I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"The solution is sufficiently stable."
"We enjoy the multistep API tests."
"It has saved us a lot of trouble in implementation."
"The solution has helped our organization with custom events to track specific cases."
"The performance of Datadog is good."
"Message forwarding through the in-built module."
"Real-time UDP/GELF logging and full text-based searching."
"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."
"I like the correlation and the alerting."
"The build is stable and requires little maintenance, even compared to some extremely expensive products."
"One of the most valuable features is that you are able to do a very detailed search through the log messages in the overview."
"I am very proud of how very stable the solution is."
"I would love to see more metrics or analytics in IoT devices."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"More granular control over dashboard sharing. Timeboard sharing."
"Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."
"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"The sheer amount of products that are included can be overwhelming."
"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."
"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."
"I hope to see improvements in Graylog for more interactivity, user-friendliness, and creating alerts. The initial setup is complex."
"Its scalability gets complicated when we have to update or edit multiple nodes."
"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."
"Dashboards, stream alerts and parsing could be improved."
"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."
Datadog is ranked 3rd in Log Management with 137 reviews while Graylog is ranked 11th in Log Management with 18 reviews. Datadog is rated 8.6, while Graylog is rated 8.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". 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". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas Graylog is most compared with Grafana Loki, Wazuh, syslog-ng, Splunk Enterprise Security and ManageEngine Log360. See our Datadog vs. Graylog report.
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We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.