Datadog Reviews

I'm not sure which version we're using, although I believe it to be the latest. 

We essentially use the solution in advance of performance testing, performance monitoring, and troubleshooting.

The solution affords us many uses when it comes to troubleshooting and application. Should we encounter issues while troubleshooting under load, we can take advantage of Datadog usage metrics to see which method or area is having difficulty, in order that we may resolve the issue. 

The solution has valuable troubleshooting and instrumentation features. 

The setup was a bit complex. 

As Datadog is a bit on the expensive side, I would recommend it for simple, uncomplicated, solutions.

I have been using Datadog for nearly four or five years. 

The solution is sufficiently stable. 

As our company does not have many users who are making use of the solution at present, I have not encountered issues with its scalability. 

I do not have plans to increase the usage at the moment. 

I cannot comment on tech support, as I have not made use of them, although my team members have. It seems okay. 

We mainly work with Datadog, although with Dynatrace, as well. 

The initial setup was a bit complex. 

We hired a separate team to handle the implementation. 

At present, not much staff is needed for the deployment and maintenance. 

I am not in much of a position to address the question of return on investment, although I believe it is for the better that my organization employs the solution.

I do not have knowledge of the licensing costs. 

As Datadog is a bit on the expensive side, I would recommend it for simple, uncomplicated, solutions. 

We are just the users of the solution. There are not many of us in our company. 

The solution is good for complex integations which have lots of downstream and involve multiple combined systems. This is where it is useful. 

I rate Datadog as a nine out of ten. 

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. 

It could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications. 

I've used Datadog for about one month. 

Datadog is a great tool, but it does not cover 100% of all libraries and technologies, like Dynatrace does.

I give Datadog an eight out of ten. 

We have a web infrastructure that uses Amazon Web Services containers with everything included, and we use Datadog to monitor them all.

The most valuable feature of Datadog is its logs. We can use the logs to conduct analysis and root cause analysis.

They could look into improving the integration.

I'd like to see better pricing and more integration in the next release.

I have been working with Datadog for approximately one year.

Datadog is a stable solution.

The scalability is good.

Datadog is currently used by 15 people in our organization.

We intend to continue and expand our use of this solution.

We contacted technical support, and they were extremely helpful.

The installation is reasonably straightforward.

We are a small organization. We have one administrator who is responsible to maintain and keep this solution up to date.

Our licensing fees are paid on a monthly basis.

It's quite expensive. They could improve the price by making it affordable.

I would recommend this solution to others.

I would rate Datadog an eight out of ten.

I am using Datadog for error reporting.

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

I have been using this solution for approximately three years.

The solution is stable.

I used to process a million requests easily with Datadog, I never had any scalability issue.

I have not needed to contact support.

The initial setup is easy.

Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs.

I rate Datadog a nine out of ten.

We are currently testing it. If the testing goes well, we'll purchase the full version, and it will probably be our main monitoring tool. We plan to use it for monitoring our activities and the attacks on our systems or network.

It is a cloud monitoring tool. I believe it would make things easier for our clients in terms of monitoring.

Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc.

I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports. 

We started using its trial version just last week.

We have not yet interacted with their technical support.

Currently, we're on EventTracker. We are doing research to see if we could get a better monitoring solution. That's why we are trying out Datadog. If we like it, we will buy the full version. We would also recommend it to our other clients.

It is easy to install, and it doesn't have any cumbersome procedures. Its deployment took a couple of hours.

I did it by myself.

We evaluated solutions from SolarWinds and IBM.

I would recommend this solution. I am still trying it out, and I haven't encountered any challenges so far. I would rate Datadog a seven out of ten.

The application performance monitoring is pretty good. 

The Log Explorer could be better. I don't think it has log manipulation as Splunk does.

I've only been using Datadog for the past one or two months. 

Datadog is stable. 

The initial setup is pretty easy. It's a kind of agent-based application monitoring. It's similar to Splunk and Elastic Stack.

Although I don't have that much experience with it, overall, on a scale from one to ten, I would give Datadog a rating of eight. 

We use it for our infrastructure network and servers.

From our customer's and our perspective, it has not brought much change in terms of the process. Datadog did not change anything about the process. It only provided a single tool instead of having to use multiple tools.

Its logs are most valuable.

Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in usage. For example, if there is a 20% more increase from one week to another, the customer should get an alert.

I have been using this solution for two years.

It is pretty stable.

The perimeter in which we worked was not big enough to get any information about scalability.

Their technical support is fine.

One of our customers was using another solution. They switched because of the scalability of the perimeter. Their previous solutions were limited in terms of the kind of servers and virtual machines. They had multiple tools, and Datadog provided them a single tool for architecture and infrastructure.

Its initial setup is complex.

We installed it ourselves.

I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage.

We evaluated various in-house and external options.

I would advise others to take a step-by-step approach rather than a from-zero-to-everything approach.

I would rate Datadog an eight out of ten.

I implement this solution for clients.

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 configuration file was really helpful, we were able to configure the solution in the way we needed. The portability of this solution is more flexible than other competitors, allowing us to change cloud services when we want. We are not locked into a particular one.

The solution is scalable.

We have used CloudWatch previously and this solution is better at meeting all our needs.

The installation is easy for me. However, if you are new to this solution it might not be so easy.

I am an implementor, I did the implantation of the solution.

I rate Datadog a nine out of ten.