What do you like most about Datadog?

Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable.

The tool's deployment is easy.

Datadog has clear dashboards and good documentation.

Datadog has flexibility.

Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools.

Datadog helps us detect issues early on and helps in troubleshooting.

Profiling has been made easier.

Datadog dashboards are pretty great.

The product has offered increased visibility via logging APM, metrics, RUM, etc.

The tools are powerful and intuitive to set up.

APM is great and has provided low-effort out-of-the-box observability for various services.

The solution has helped out organization gain improved visibility.

The installation step is pretty straightforward.

The most valuable aspect of the solution is the APM.

It is easy to implement and scale applications with standardized visibility, monitoring and alerting

Datadog has helped us a ton by allowing us to set up a multitude of easily configurable alarms across our tech stack and infrastructure.

It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale.

The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast.

Datadog is providing efficiency in the products we develop for the wireless device engineering department.

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.

We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch.

We really like the charts and visualization.

The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments.

Datadog is easy to use and easy to deploy. It's a better solution compared to others on the market in terms of being budget friendly for our customers.

I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use.

The dashboards and the performance of the software have been great.

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

Datadog is constantly adding new features.

The performance of Datadog is good.

The solution is sufficiently stable.

Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams.

The most valuable feature of Datadog is its logs.

Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up.

I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution.

The most valuable features are the dashboards and the reporting.

The application performance monitoring is pretty good.

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.

The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit.

I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings.

Datadog has given us near-live visibility across our entire cloud platform.

The ability to send notifications based on metadata from the monitor is helpful.

The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need.

The most valuable features are logging, the extensive set of integrations, and easy jumpstart.

Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system.

Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers.

The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure.

Straightforward to integrate and automate.

Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis.

This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space.

The integration and configuration are incredibly simple. The SaaS offering is remarkably easy to set up, especially if you're coming from a Graphite environment or anything that uses a StatsD.

If we have a large load for users using our basic Datadog, it will immediately fire off an alert notifying us either something's wrong or not.

It has enhanced the performance of my team.

It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to.

It provides more cloud data. They tend to just get the way a service would be designed on the cloud.

Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc.

We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation.

I don't have to worry about upgrades with the AWS version.

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.