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.
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze."
"It has turned into an operational dashboard. If you felt something is going wrong, you can immediately open up Datadog. It has been our go to application because we know the answer will be there."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"Overall, the Data UI and the usability of customer features continue to improve."
"Anything I've wanted to do, I found a way to get it done through Datadog."
"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 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 tool is simple to setup where it is just plug and play. The tool is reliable and we never had any performance issues."
"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."
"We use the tool to track the dev and production environment."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"The pricing should be less of a surprise."
"We need a lot of modules since we collect all data logs from all operating systems."
"Datadog could always lower the price!"
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"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."
"Capacity planning could be a little bit of a struggle."
"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."
"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."
"The product needs improvement from a filtering perspective."
"The price can be cheaper and they should have better monitoring."
"The solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."
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.