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.
"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"The solution has helped out organization gain improved visibility."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"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"
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"The initial setup is very straightforward."
"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 product for log collection and monitoring."
"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."
"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 tool to track the dev and production environment."
"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."
"We would really like to see more from the Service Catalog."
"Deploying the agents is still very manual."
"All solutions have some area to improve, and in Datadog they can improve their overall technology moving forward."
"I'd like to see better pricing and more integration in the next release."
"Datadog could always lower the price!"
"The solution needs to integrate AI tools."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"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 price can be cheaper and they should have better monitoring."
"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 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 solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."
"The solution needs to expand its access control and make it accessible through API."
"Capacity planning could be a little bit of a struggle."
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 ManageEngine File Audit Plus. 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.