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.
"Since we integrated Datadog, we have had increased confidence in the quality of our service, and we had an easier time increasing our delivery velocity."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"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."
"I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings."
"We can handle debugging and find out why things are breaking in our applications."
"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."
"Excellent autocomplete for everything in the UI."
"Datadog has given us near-live visibility across our entire cloud platform."
"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."
"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."
"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 error traceability is an area that can be improved."
"We need a lot of modules since we collect all data logs from all operating systems."
"Alerting timing should be improved to be more fine-tuned and exact."
"It would be ideal if the product offered a bit more monitoring from our dashboard."
"I would like better navigability across pages."
"I've found that the documentation is lacking in certain regards."
"I'd like to see better pricing and more integration in the next release."
"It would also be nice if we had more insight into our own usage of Datadog (agents and custom metrics). They provide a usage page which does help, but it is not in real-time."
"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."
"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."
"The solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."
"Capacity planning could be a little bit of a struggle."
"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."
"The solution needs to expand its access control and make it accessible through API."
"The product needs improvement from a filtering perspective."
"The price can be cheaper and they should have better monitoring."
Datadog is ranked 2nd in Log Management with 137 reviews while Logz.io is ranked 23rd 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 AppDynamics, whereas Logz.io is most compared with Wazuh, Coralogix, Microsoft Sentinel, Splunk Enterprise Security and Fortinet FortiAnalyzer. See our Datadog vs. Logz.io report.
See our list of best Log Management vendors.
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.
