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.
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"Datadog is providing efficiency in the products we develop for the wireless device engineering department."
"The initial setup is very straightforward."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"I have found the logging and tracing features the most valuable."
"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"It is easy to navigate the menu and create tests."
"The many dozens of integrations that the solution brings out of the box are excellent."
"The query mechanism for response codes and application health is valuable."
"We use the tool to track the dev and production environment."
"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 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."
"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 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 tool is simple to setup where it is just plug and play. The tool is reliable and we never had any performance issues."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"The product needs to have more enterprise approach to configuration."
"At the beginning, when we started throwing logs at it, there was a bit of hiccup. However, this was during their beta period, so hiccups were expected."
"It can be overwhelming for new people as it has a lot of features."
"The ease of implementation needs improvement."
"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."
"The documentation leaves a lot to be desired for new users."
"Datadog is expensive."
"The solution needs to expand its access control and make it accessible through API."
"The product needs improvement from a filtering perspective."
"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 granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."
"The price can be cheaper and they should have better monitoring."
"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."
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, Splunk Enterprise Security and Grafana Loki. 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.