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 most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."
"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."
"The many dozens of integrations that the solution brings out of the box are excellent."
"The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"The platform appeals to companies spanning many industries on a global scale."
"Their interface is probably one of the easiest things to use because it lets non-developers and non-engineers quickly get access to metrics and pull business value out of them. We could put together dashboards and give it to people who are non-technical, then they can see the state of the world."
"Datadog dashboards are pretty great."
"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."
"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 query mechanism for response codes and application health is valuable."
"We use the product for log collection and monitoring."
"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."
"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."
"In the past two years, there have been a couple of outages."
"The FinOps needs improvement."
"When it comes to storing the logs with Datadog, I'm not sure why it costs so much to store gigabytes or terabytes of information when it's a fraction of the cost to do so myself."
"The parallel editing of the dashboards should not cause users to lose the work of another person."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"The dashboard could be improved. It would be helpful to get a view of specific things that we need to monitor for our application."
"The pricing should be less of a surprise."
"Datadog is expensive."
"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 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."
"The price can be cheaper and they should have better monitoring."
"The product needs improvement from a filtering perspective."
"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."
"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.
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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.