Datadog Reviews

We have deep integration with Datadog for observability and monitoring.

We use everything from APM, logs, and RUM to monitor and dashboards for tracking system health. 

We are trying to move from many different solutions for error tracking/observability to a single platform (Datadog).

We are currently in the process of setting up logging in Datadog in order to maintain our logs better. We are looking to create more insights into the real user flows by using real user monitoring (RUM) too.

We use Datadog quite extensively. I primarily work with APM traces and logs to debug issues and unblock myself in my day-to-day role. I have found the traces and spans most useful in providing details about why certain services are performing poorly.

Datadog provides a lot of value in terms of adding monitoring and observability to our app. There are so many different solutions, it is sometimes difficult to gauge where to start, and I sometimes miss a lot of functionality (such as the very useful error-tracking dashboard mentioned in my review above).

As I mentioned above, we use Datadog quite extensively. In my day-to-day role, I primarily work with APM traces and logs to debug issues and unblock myself. 

I have found the traces and spans most useful in providing details about why certain services are performing poorly.

Additionally, the flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on.

Furthermore, we are also using monitoring to page us if things break, and the Slack integration provides us instantaneous feedback on how things are performing.

We need more visibility into the error tracking dashboard. I only learned about it during a demo at Dash Con. That said, it seems to be a very useful tool.

Additionally, we want to export our dashboards and monitors to source control, and there doesn't seem to be any easy way to do so.

I've used the solution for four years.

For logging, we are moving from LogDNA to Datadog to have access to everything in one place. Also, searching and traversing through logs seems easier in Datadog

I did not evaluate others, however, my team probably did.

Datadog provides a lot of value in terms of adding monitoring and observability to our app. There are so many different solutions; it is sometimes difficult to gauge where to start, and I sometimes miss a lot of functionality. For example, the very useful error-tracking dashboard that I just discovered.

After a security incident, we needed to find and migrate to a different cloud provider, and after evaluating different competitors and the skill set of the team, we decided to move to AWS. AWS also enables the team to have finer control over how our apps are deployed and how security and access are managed. By leveraging AWS's functionality, we have increased our application's security and sped up the deployment process. We've even been able to handle higher workloads due to AWS's auto-scaling functionality.

Elastic container services have improved our organization by allowing us to deploy our application. While this problem was not solved by using the elastic container service since we had a previous solution on a different provider, the ease and flexibility of deploys have greatly benefited the ops team and the overall engineering organization. It is easy to use. However, there are many out-of-the-box features like metrics and seeing task definitions that make life easier.

The most valuable feature I have found is the elastic container service. That is where our apps get deployed. This feature is really important to us since, without it, we would not be able to deploy our apps the way we wanted to and would have to use a different vendor. 

This service is also valuable to our team as we have a lot of familiarity with it and adapting to the services from our previous one was fairly seamless. 

Another feature that is very valuable for our team is the IAM. It allows us to control security.

ECS could be improved by including more tutorials for beginners to reduce the barriers to entry. It would help to ensure understanding and learning in terms of how to use a cloud provider. Besides this, there are not any other areas of improvement needed since the service is very straightforward and there is ample documentation.

I've used the solution for one year.

We use the solution for monitoring time spent on views and events triggered. For example, for one of our products, we have created a custom dashboard that lets us track all the custom events and multiple entry points in the same part of the application.

Knowing the entry point helps us choose which part of the program should be improved next. It also helps us with collecting important data about the overall usage of each module within our application. 

The solution has helped our organization with custom events to track specific cases.

It's helped with monitoring time spent on views and events triggered. For example, for one of our products, we have created a custom dashboard that lets us track all the custom events as well as multiple entry points into the same part of the application.

Knowing the entry point helps us choose which part of the program should be improved. It's collecting important data about the overall usage of each module within our application. 

The most valuable feature is the custom events to track specific cases.

Monitoring time spent on views and events can be triggered. For example, for one of our products, we have created a custom dashboard that lets us track all the custom events and multiple entry points in the same part of the application.

Knowing the entry point helps us decide on improvements. We can collect important data about the overall usage of each module within our application. 

We look forward to the next features from Datadog. We need to learn more about the session reply feature inside of DD.

I've used the solution for two years.

We use Datadog to monitor our product on the cloud.

The performance of Datadog is good.

Datadog has a lot of features kind of cramped into one dashboard. It's quite hard to get around what feature does exactly what. There was a steep learning curve, trying to navigate through menus.

The menu navigation could improve. If there was a more straightforward way of adding new functions or features to where each menu is placed that would be an improvement.

I have been using Datadog for approximately six months.

The solution is stable.

The scalability of Datadog is pretty good. However, we haven't arrived at the level that we need to test out the scalability.

We have five people using the solution.

I have not used the support from Datadog.

We have not used other solutions previously.

The initial setup is straightforward, and the process took approximately three days.

We have approximately six people that implement and support the solution.

Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features.  Having better visibility of the cost would give a better experience.

There are not any additional costs for the use of this solution.

I would recommend this solution to others.

My advice to others is to use a few features of the solution before going full scale.

I rate Datadog an eight out of ten.

I like Datadog because it is so easy use, I can easily connect to public clouds, and I have a view of observability. In my opinion it's the best tool in the market.

I like the interface so much. The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment. It has so many monitors for alerting. I like all the versions and especially the APM model, on which I did a lot more testing with my applications. I have made applications for testing the tool that is in the resource. The APM is the goal for me in the Datadog.

In terms of what could be improved, Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites.

I have been using Datadog for the last 14 days.

In terms of stability, I don't have any problem with its stability or the website data. They have a solid infrastructure. I don't have any problems with that.

It was simple to configure and to set up this tool.

I have less experience with Zabbix than I have with Datadog, but I don't see Zabbix as a great tool for cloud specific monitoring because I cannot connect so easily to public clouds to gain all the information that I can in Datadog, which I can easily set up.

I have used Zabbix for 20 days for my personal tests and I really don't like it.

There is something that I liked with Zabbix, though. Zabbix is better for monitoring virtual machines. That's a feature that I liked. But everything else is awful. I can't have dashboards. I do not have integrations with some ITSM systems, like Jira or OTRS. It's awful because I need to have those integrations.

I would rate Zabbix a nine from one to ten for on premises environments. For cloud platforms, I rate this tool as a five, because of the complexity required to integrate it in other platforms.

On a scale of one to ten, I would rate Datadog a nine, just because of the missing feature of checking websites.

We implement these solutions for our clients. We have implemented Datadog as an SIEM solution.

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.

While I like the ease of use, when compared with Tenable Nessus they could still improve their usability. They are okay, but there is room to be better.

They could have more integration.

They could be more intuitive as well. For example, the intuitivity of the user interfaces, and how long it takes for users to learn how to use Datadog.

It is not impossible to use, or impossible to do the administration with it but when you put these two next to each other, meaning Nessus and Datadog, Nessus comes out as the winner.

I have been using Datadog for two years.

We are not using the latest version, we have missed at least one update.

We have no issues with the stability of Datadog.

Datadog is a scalable product.

We have two customers who are using this solution.

Technical support runs 24/7. The technical support is absolutely fine.

We are also using Nessus. My experience using Tenable Nessus is better.

It is easier to install than to use it.

I was not the one doing the handling the installation. I'm a senior consultant, and I was coordinating, planning, and interacting with clients. But the actual installation, I was not involved with. 

The installation could be done in an hour or so.

It is not complex, two professionals are enough to complete the installation and maintenance of Datadog.

With Datadog, it's a monthly fee. They prefer monthly subscriptions.

I would recommend this solution for medium enterprises with 100 to 1,000 employees. 

Small business is too small for the way that Datadog operates. It is not the best for very large enterprises for a company with more than 1,000 employees.

I would rate DataDog an eight out of ten.

We're in the process of doing a Proof of Concept with the solution right now.

One of the solution's greatest aspects is its overall simplicity. It is very easy to use. It's easier to handle than other brands we have access to.

The monitoring capabilities that the solution provides are very good.

We find they have a very helpful alert system.

The product has been very stable. We've liked the performance provided.

The initial setup is simple and easy to handle. It's not hard at all.

The experience we've had with technical support has been very positive so far. They are helpful.

The integration capabilities have been pretty good overall. We have no complaints.

We haven't used the solution too much yet to assess what features it is missing or would improve. The support in Latin American is a point that would mark as a point to improve

The stability of the solution is excellent. There are no bugs or glitches. It doesn't crash or freeze. It's very reliable in terms of performance.

Technical support has been helpful overall. They are knowledgeable and responsive. We are quite satisfied with the level of service they provide to our company. 

We are actually still using actually Elasticsearch and Kibana, however, we prefer to use Datadog due to the fact that it is very simple. We really enjoy how it operates

We found the initial setup to not be overly complex. It's rather straightforward and easy to execute. A company shouldn't have any issues with the process.

I'm not sure if the license is expensive or cheap. It's managed by the customer and we've recently come on board.

I am an end-user and customer. I don't have any business relationship with the product itself. We work with clients on the infrastructure and IT developer infrastructure mostly. We work with a variety of solutions, including Dynatrace, Datadog, Elasticsearch, etcetera.

In general, due to its simplicity and ease of use, I would rate the solution at a nine out of ten. We've been very satisfied with the solution overall.

We primarily use the solution for monitoring and log analysis.

Datadog shows all the logs for the services, and it is very useful for troubleshooting.

The most valuable aspect of the solution is the APM.

The logging capabilities are quite useful. 

The logging could be improved in the future. 

I've used the solution for four years.