Datadog vs. Logz.io vs. NetApp OnCommand Insight

Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.

Incentivized

Logz.io is an effective solution if your alerting needs are fairly straightforward and you don't need long-term retention of logs with easy access. If being able to maintain easy access to logs longer than this is necessary, another solution might be better. If you need a high degree of precision with alerting triggers and the ability to suppress alerts, you will need to combine Logz.io with an integration to get this or you might consider a different solution.

Incentivized

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• Well documented and easy to set up.
• Their alerting mechanism is really great especially when it comes to application monitoring.
• Our data analysis in Kibana is made easy with the solution for Logz.io.
• The issue checking and fixing is escalated quickly and is reported in time.

Incentivized

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• Its price can be very high, so you should have good control of it to avoid exaggerated figures.
• Some functions can be confusing.
• It has limits to create subaccounts, which is a big problem for large companies.

Incentivized

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

Really easy to use and ship the logs Good customer support Easy integration with the modules

Incentivized

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

I initially struggled trying to ensure the correct data was returned in the Kibana search, but I found it overall easy to use. Some of the UI is not as seamless as I'd expect, like changing the environment completely resets your search criteria and filters, which is annoying since it's a common use case to search something in multiple environments

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

Their support team is the best in the world! They supported us in most of the critical times and helped to resolve the issue in real time. Also their email support is well maintained and never a mail is missed unanswered. Kudos to the support team of logz.io for maintaining professionalism.

Incentivized

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

Implementation of logzio is easy. Exporting the logs with filebeat agent is our main key source.

Incentivized

Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

Incentivized

Logz.io is more affordable, less work to maintain, and has more features. It was an easy choice. After my last team had to manage their own ELK stack, this was a no brainer. It helps us be focused on our core competencies.

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• about the investment, this tool is helping in our day to day activities
• easy to troubleshoot the errors
• simple and powerful

Incentivized