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.
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"The monitoring functionality, in general, and tagging infrastructure are great."
"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."
"The solution is useful for monitoring logs."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers."
"This had increased productivity for the dev and support teams, because we are directly notifying them."
"The ability to write custom alerts is key to information security and compliance."
"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."
"Message forwarding through the in-built module."
"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 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."
"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"The build is stable and requires little maintenance, even compared to some extremely expensive products."
"They need to implement template variables into the message response body."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"Datadog isn't as mature as some of the established players like Dynatrace or Splunk. It's a new product, so they are constantly releasing new features, and I don't have much to complain about."
"This service could be less costly."
"We'd like Datadog to make the log storage cheaper."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"The product could do better with its notifications."
"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."
"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."
"More customization is always useful."
"The infrastructure cost is the main issue. I like the rest. If the infrastructure costs could be lower, it would be fantastic."
"I hope to see improvements in Graylog for more interactivity, user-friendliness, and creating alerts. The initial setup is complex."
"I would like to see a default dashboard widget that shows the topology of the clusters defined for the graylog install."
"With technical support, you are on your own without an enterprise license."
"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."
Datadog is ranked 2nd 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.
