We performed a comparison between Datadog and Mezmo based on real PeerSpot user reviews.
Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"The observability pipelines are the most valuable aspect of the solution."
"The most valuable aspect of the solution is the APM."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."
"Datadog has proven to be easy to set up and legible for both development and operational teams."
"I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable."
"LogDNA consolidates all logs into one place, which is super valuable."
"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"To be very fair, I haven't had enough experience with Datadog to pick out improvements."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"The setup was a bit complex."
"I think better access to their engineers when we have a problem could be better."
"I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue."
"No ability to encapsulate a query or a filter, and communicate or share that among the team."
Earn 20 points
Datadog is ranked 2nd in Log Management with 137 reviews while Mezmo is ranked 51st in Log Management. Datadog is rated 8.6, while Mezmo is rated 9.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Mezmo writes "Has vastly increased our ability to reach SLA targets consistently". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas Mezmo is most compared with Cribl Stream. See our Datadog vs. Mezmo report.
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