We performed a comparison between Datadog and Logz.io based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Datadog is the winner in this comparison. According to reviews, Datadog appears to be a more mature and powerful solution. Logz.io does come out on top in the setup and pricing categories, however.
"It lets us react more quickly to things going wrong. Whereas before, it might have been 30 minutes to an hour before we noticed something going on, we will know within a minute or two if something is off, which will let us essentially get something back up and running faster for our customers, which is revenue."
"The tools are powerful and intuitive to set up."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"Its logs are most valuable."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"The most valuable aspect is for us to have everything in one place."
"It is massively useful and great for testing. We can just go, find logs, and attach them easily. It has a very quick lookup. Whereas, before we would have to go, dig around, and find the server that the logs were connected to, then go to the server, download the log, and attach it. Now, we can just go straight to this solution, type in the log ID and server ID, and obtain the information that we want."
"We use the tool to track the dev and production environment."
"InsightOne is the main reason why we use LogMeIn. This is mostly because of log data that we are pushing tools and logs in general."
"The tool is simple to setup where it is just plug and play. The tool is reliable and we never had any performance issues."
"The visualizations in Kibana are the most valuable feature. It's much more convenient to have a visualization of logs. We can see status really clearly and very fast, with just a couple of clicks."
"The query mechanism for response codes and application health is valuable."
"We use the product for log collection and monitoring."
"The other nice thing about Logz.io is their team. When it comes to onboarding, their support is incredibly proactive. They bring the brand experience from a customer services perspective because their team is always there to help you refine filters and tweak dashboards. That is really a useful thing to have. Their engagement is really supportive."
"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."
"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."
"I often have issues with the UI in my browser."
"The parallel editing of the dashboards should not cause users to lose the work of another person."
"I would love to see more metrics or analytics in IoT devices."
"We have asked technical support questions, and sometimes they don't get back to us right away. Or when they do, it is not the right answer."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect."
"They need to implement template variables into the message response body."
"The solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."
"The product needs improvement from a filtering perspective."
"The price can be cheaper and they should have better monitoring."
"When it comes to reducing our troubleshooting time, it depends. When there are no bugs in Logz.io, it reduces troubleshooting by 5 to 10 percent. When there are bugs, it increases our troubleshooting time by 200 percent or more."
"I would like them to improve how they manage releases. Some of our integrations integrate specifically with set versions. Logz.io occasionally releases an update that might break that integration. On one occasion, we found out a little bit too late, then we had to roll it back."
"Capacity planning could be a little bit of a struggle."
"The solution needs to expand its access control and make it accessible through API."
"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."
Datadog is ranked 3rd in Log Management with 137 reviews while Logz.io is ranked 24th in Log Management with 8 reviews. Datadog is rated 8.6, while Logz.io is rated 8.2. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Logz.io writes "The solution is a consistent logging platform that provides excellent query mechanisms". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Logz.io is most compared with Wazuh, Coralogix, Microsoft Sentinel and Splunk Enterprise Security. See our Datadog vs. Logz.io 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.