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 integration into AWS is key as well as our software is currently bound to AWS."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"With Datadog I can look at the health of the technology stack and services."
"Profiling has been made easier."
"The solution allows flexibility and heightened observability for presenting data, creating indicators, and setting service-level objectives."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"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."
"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."
"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."
"We use the tool to track the dev and production environment."
"More granular control over dashboard sharing. Timeboard sharing."
"It lacks consistency in the APIs."
"I've found that the documentation is lacking in certain regards."
"The setup was a bit complex."
"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."
"We need more integration with security tools like Drata."
"I often have issues with the UI in my browser."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"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."
"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 product needs improvement from a filtering perspective."
"The solution needs to expand its access control and make it accessible through API."
"The solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."
"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."
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.