We primarily use the dashboard/metric with many tags.
Senior Software Engineer at Grata
Great charts and visualizations with good debugging
Pros and Cons
- "We really like the charts and visualization."
- "Sometimes, it takes a long time to load the dashboard if we have many charts."
What is our primary use case?
How has it helped my organization?
It makes the system easier to debug.
What is most valuable?
We really like the charts and visualization.
What needs improvement?
Sometimes, it takes a long time to load the dashboard if we have many charts.
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April 2025

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For how long have I used the solution?
I've used the solution for five years.
Which deployment model are you using for this solution?
Private Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.

Software Engineering Manager at a tech vendor with 51-200 employees
Overall effective features, good reporting, and log centralization
Pros and Cons
- "I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
What is our primary use case?
I am using Datadog for error reporting.
What is most valuable?
I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution.
For how long have I used the solution?
I have been using this solution for approximately three years.
What do I think about the stability of the solution?
The solution is stable.
What do I think about the scalability of the solution?
I used to process a million requests easily with Datadog, I never had any scalability issue.
How are customer service and technical support?
I have not needed to contact support.
How was the initial setup?
The initial setup is easy.
What's my experience with pricing, setup cost, and licensing?
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.
What other advice do I have?
I rate Datadog a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Buyer's Guide
Datadog
April 2025

Learn what your peers think about Datadog. Get advice and tips from experienced pros sharing their opinions. Updated: April 2025.
848,716 professionals have used our research since 2012.
Head of Digital & Cognitive Services at a tech company with 11-50 employees
Provides seamless monitoring, increases visibility, and optimizes the time spent on monitoring and management activities, but needs an artificial intelligence component
Pros and Cons
- "Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
- "It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
What is our primary use case?
We use it for monitoring and instrumentation of security. We secure our databases and servers. It is typically for the security of apps, services, and systems. We are using its latest version.
How has it helped my organization?
It has reduced some challenges, and it has optimized the time spent on monitoring and management activities. It has improved the visualization and the ability to monitor and control.
Datadog increases our visibility. It puts all the data in one log so that we can use that log in a contextual manner. Some operational optimizations definitely have happened with this solution. In general, the user community is happier than before. We are basically asking them every quarter how happy they are on a scale of zero to five. That needle has moved but not significantly. If it was 3 earlier, it is still less than 3.5 now, but the user experience is better than before.
Because of this monitoring, we are empowered to publish certain dashboards for the business folks as well. We have three to five senior business folks who are looking at their investments and operations optimization. They are basically putting money on the table for this.
What is most valuable?
Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor.
Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context.
What needs improvement?
It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities.
For how long have I used the solution?
I have been using this solution for almost six months now.
What do I think about the stability of the solution?
It is stable. There is nothing critical about it. I've not heard of any significant issues in terms of operating this solution in the last six months.
What do I think about the scalability of the solution?
We have only been using it for six months, and we haven't scaled it. Six months are nothing for such a solution.
We do monitoring as a service, and we have a hundred team members in the team. There are between 30 to 50 users who actively use it in some way.
Which solution did I use previously and why did I switch?
We had Carbon Black. We didn't switch from Carbon Black to Datadog. Datadog was something different because of the visualization capability and bringing everything together. We acquired a couple of companies, and Datadog was being purchased. We just validated the purchase specification, features, and assessments. It was not a one-on-one sort of exchange of Carbon Black with Datadog.
How was the initial setup?
It was easier than what we had been using in the past. It is a SaaS-based solution, and it was supposed to be a straightforward setup.
What was our ROI?
It is too early for that. I have not yet seen the impact on my budgetary lines or process optimization. I had ten people in my Security Ops team earlier, and I still have ten people. They are definitely happier as users than before, but what does that give to the organization is not yet clear to me.
What other advice do I have?
I would rate Datadog a seven out of ten. It is too early to say whether we are getting our money's worth, but we have felt the difference in terms of optimization and user experience.
Which deployment model are you using for this solution?
Private Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Senior Cloud Security Engineer at a financial services firm with 201-500 employees
Straightforward to integrate and automate; excellent technical support
Pros and Cons
- "Straightforward to integrate and automate."
- "Could be a little more user friendly."
What is our primary use case?
I'm a senior cloud security engineer and we are customers of Datadog.
What is most valuable?
In terms of the public cloud provider integration of AWS, I would say it's very easy and straightforward to integrate. We can automate that way as well, because it also provides the cloud formation template and is a way to have a central place to monitor and visualize metrics in a multi-account structure. It's something we really need because the company has many AWS accounts. Rather than jumping from one account to another, Datadog gives us the functionality of having everything on one platform, in one place.
What needs improvement?
I believe there is room for improvement with this solution. It wasn't easy for me to get a quick understanding of what this tool offers us as opposed to the added tools of AWS. By that, I mean in regards to finding a better way to apply some filters or to create some alarms. I don't get more advanced features in comparison to AWS but at least I get a centralized way of doing things, which can be done on the AWS side as well. It's more complicated because you have to configure some other services to stream their logs from multi accounts to one account. It could be more user friendly and include advanced examples in the documentation showing some use cases or customer case studies, so you can get a clear idea that this functionality provides something extra.
For how long have I used the solution?
I've been using this solution for about a month.
What do I think about the stability of the solution?
This is a stable solution.
What do I think about the scalability of the solution?
It's an SaaS solution, so it should be scalable although I don't know the architecture of it.
How are customer service and technical support?
We have support from a technical engineer during the POC, which is still ongoing. It's amazing. Their customization and support during the POC include weekly meetings, with a follow up of any issues through email and Slack.
How was the initial setup?
The initial setup in regards to integration with AWS was very simple.
What other advice do I have?
I would recommend this solution even though I don't have much experience with it yet. The company is currently using New Relic and we are now investigating Datadog for two reasons; the cost and also the integration with microservices and Kubernetes. I feel like this is a good solution.
There is some room for improvement, so I would rate this solution an eight out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Software Developer at a tech vendor with 51-200 employees
Great for logging and monitoring with useful RUM capabilities
Pros and Cons
- "The product has offered increased visibility via logging APM, metrics, RUM, etc."
- "Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."
What is our primary use case?
We’re currently using logging, monitoring, metrics, APM, etc.
We've started to use e-SLOs, however, it takes a bit of time to work through those.
RUM has been very useful. I have used this in the past to debug problems in production, which has been g great.
We also want to start using synthetics and tracing more.
Our application currently runs in many different environments based on our customers' requirements. This allows us to see everything in one place and filter by environment as required, which is extremely useful.
How has it helped my organization?
The product has offered increased visibility via logging APM, metrics, RUM, etc. We've gone from almost nothing to something that didn’t take a lot of time to set up. It has been great since we had so little time to spare.
As a startup, we have limited resources, and no one has enough time for anything. The fact that there are so many easy integrations and configurations by YAML makes everything easy to set up without needing a full-time employee. Instead, we're just configuring monitoring solutions which are very desirable.
What is most valuable?
The product is very useful for tracking down anything that’s gone wrong. I’ve been using it to make sure everything is working correctly after deployment and to make sure we don’t suffer performance degradation. We've found it great for tracking down anything that’s gone wrong in real-time.
The logs are helpful. They are necessary for any application. Prior to this, our solution would have been to SSH into a machine and tail log files. This, however, is untenable for many reasons, and one of the first things I wanted to change.
The RUM has been great. Seeing real users interacting with our website is quite helpful.
What needs improvement?
Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution. I’ve used other logging platforms in the past that have extensive and mature query languages. This might not be super friendly to start out with, yet can be very powerful.
I wish there was more of an emphasis on query languages instead of the UI-based tooling that Datadog provides. Even though it is powerful on its own, the UI-based design lacks the elegance, efficiency, and complexity.
For how long have I used the solution?
I've been using the solution for six months or so.
Which solution did I use previously and why did I switch?
I was previously familiar with Splunk.
What's my experience with pricing, setup cost, and licensing?
I don’t handle pricing or licensing aspects.
Which other solutions did I evaluate?
I did not evaluate other options.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Principal Software Engineer at a insurance company with 10,001+ employees
Good for testing and multistep API tests with a straightforward setup
Pros and Cons
- "We enjoy the multistep API tests."
- "They need to implement template variables into the message response body."
What is our primary use case?
We use the solution for testing all of our application's endpoints. It is making sure that they work on a consistent basis.
What is most valuable?
We enjoy the multistep API tests.
What needs improvement?
They need to implement template variables into the message response body. They could be injected in the subsequent calls. However, they fail to be able to use those variables anywhere in the alert body message that is sent out.
For how long have I used the solution?
We've been using the solution for a year.
What do I think about the stability of the solution?
I've never thought about stability and have no insights.
How are customer service and support?
I find we are getting tossed from engineer to engineer. It is not fun when you have an ongoing problem. That is something from the customer resolution team that needs to be addressed.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We previously used Selenium. I was forced to use it. However, Datadog was a way simpler solution to setting up browser and API tests quickly.
How was the initial setup?
The solution is very straightforward since it has a good GUI.
What about the implementation team?
The initial setup was handled in-house.
What was our ROI?
It is not my job to track the ROI.
What's my experience with pricing, setup cost, and licensing?
I have no details about the pricing.
Which other solutions did I evaluate?
We did not evaluate other solutions.
What other advice do I have?
The solution is a SaaS.
Disclosure: My company has a business relationship with this vendor other than being a customer: partner
Senior Director at a tech vendor with 1,001-5,000 employees
Good dashboards and app performance insights with helpful monitoring
Pros and Cons
- "The solution has improved the organization by providing good insights into app performance and offering good dashboards."
- "We'd like Datadog to make the log storage cheaper."
What is our primary use case?
We primarily use the solution for the RUM, security monitoring, and streams.
We need to monitor users and what they access. We also need to identify security loopholes and attack patterns and identify and quickly respond to issues.
We can identify pushbacks, and get insight into application components that stack up with each other. We can understand which components, libraries, and code to alert teams.
Using Datadog, we can raise incidents, track incidents to completion, and be able to gather data for reporting and post-mortem.
The solution allows us to track fixes and tracks their test coverage. With it, we get confidence in the fix/improvement phase and be able to provide a response.
How has it helped my organization?
The solution has improved the organization by providing good insights into app performance and offering good dashboards.
With it, our company can track fixes and track test coverage. We get confidence in the fix/improvement and are able to provide a response.
I've been able to present data to the team/ management based on the team's dashboards.
It's helped us when we've needed to monitor users and what they access or needed to identify security loopholes and attack patterns. It can help identify and quickly respond to issues.
Datadog allows us to identify pushbacks, and get insight into application components (how they stack up with each other). When we need to know which component, libraries, code, and teams to alert, we can raise and track incidents to completion and gather data for reporting and post-mortems.
What is most valuable?
The APM and container monitoring are excellent aspects of the solution.
It helps with monitoring users and what they access.
We can identify security loopholes and attack patterns while quickly responding to issues.
Our team can now identify pushbacks and get insights into application components. We can gather data for reporting and post-mortem, and we can track fixes and test coverage. Datadog allows us to gain confidence in the fix/improvement.
I've been able to present data to the team/ management based on the team's dashboards.
What needs improvement?
We'd like Datadog to make the log storage cheaper. Right now, it makes our life difficult since logs are stored separately.
We should not have to rely on team members to educate themselves in Datadog features. There should be templates that anyone can select, and they should be able to create dashboards easily. This is really slowing us down. It takes time to to explore the full potential of Datadog.
For how long have I used the solution?
I've used the solution for two years.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: My company has a business relationship with this vendor other than being a customer: provider
Lead Blockchain and Back-End Developer at Torum Technology
Good real-time user management and session analytics but needs session replays on mobile
Pros and Cons
- "The initial setup is very straightforward."
- "They could have better log reporting."
What is our primary use case?
We are using the solution from a monitoring and management perspective. We use it for alerts.
What is most valuable?
The solution's real-time user management and session analytics as well as the APM, are the solution's most valuable aspects.
We could easily identify the production box, and we could handle alerts.
The initial setup is very straightforward.
It's stable.
They have flag integrations, mail integrations, and other options as well.
What needs improvement?
We didn't do a deep analysis on this at this moment to identify the disadvantages.
We have noticed that Session Replays are unavailable on the mobile app. We'd like mobile app integrations. They could have better log reporting. That said, almost everything that we require is there.
For how long have I used the solution?
We've only used the solution for two months. We just wanted to understand the complexities and the benefits that we might get from this product.
What do I think about the stability of the solution?
The solution is stable and reliable. The performance is good. There are no bugs or glitches. It doesn't crash or freeze.
What do I think about the scalability of the solution?
It may be scalable. However, we haven't actually tested anything.
We have six or seven people on the solution at any given time. They're there to handle fixes or do an analysis of logs or monitor the infrastructure.
I'm not sure if we plan to increase usage. We are not growing very rapidly. We're just preparing our environment for the upcoming year.
How are customer service and support?
We've dealt with support. They are helpful and responsive.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We have used AWS CloudWatch and AWS inbuilt application of the features, however, we thought that it will be good to have a separate application to do all these kinds of monitoring and to have something for handling alerting mechanisms.
We are looking for the best available platforms on the market, which also would give us better flexibility while having everything come from one place. We found that Datadog is good enough for now, and we are still exploring what it can do and our options. We are not completely in with Datadog. We've been exploring it only for four or five months.
How was the initial setup?
It's an easy product to set up. The integration was very smooth and they have multiple options. It was pretty good integration-wise.
The setup itself only took a day or two. It doesn't take long.
What about the implementation team?
We handled the setup ourselves in-house. We did not need any outside assistance.
What's my experience with pricing, setup cost, and licensing?
For some features, it was quite expensive. For example, APM and RAM, and Session Replays. We are using it in a very limited way and are not using it for every microservice. We are using it for a minimal budget. As we are at an exploratory phase and are doing pay-as-you-go. Once we feel confident, we will likely get a yearly license.
What other advice do I have?
We are customers.
We're working on the latest version. I couldn't recall the version number.
I'd rate the solution six out of ten. I need to evaluate the solution further.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Disclosure: I am a real user, and this review is based on my own experience and opinions.

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