The main use case is observability and reliability as part of a platform/delivery engineering solution. We use the product to assist tenants and clients within the company to get more ramped up on SRE/DevOps.
Product Manager, Delivery Engineering at a media company with 1,001-5,000 employees
Intuitive to set up with great dashboards and dashboards and APM
Pros and Cons
- "The tools are powerful and intuitive to set up."
- "Billing should be more transparent."
What is our primary use case?
How has it helped my organization?
The solution has provided us with a lot more insight into service-level metrics, which is especially useful with APM/tracing. It gives us all-up dashboards and alerts to assist with incident management.
What is most valuable?
The most useful aspects of the product are the dashboards and APM/tracing. The tools are powerful and intuitive to set up as well.
What needs improvement?
Custom-level metrics could be improved.
Billing should be more transparent.
Buyer's Guide
Datadog
March 2025

Learn what your peers think about Datadog. Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
839,422 professionals have used our research since 2012.
For how long have I used the solution?
I've used the solution for three to four years at multiple companies.
What do I think about the stability of the solution?
The solution is very stable.
What do I think about the scalability of the solution?
The scalability is fantastic so far.
How are customer service and support?
Technical support has been great so far.
How was the initial setup?
The initial setup is straightforward. The documentation we use is very clean and concise.
What about the implementation team?
We handled the initial setup in-house.
What's my experience with pricing, setup cost, and licensing?
I would advise others to be cautious around custom metrics and be picky when setting them up.
Which deployment model are you using for this solution?
Hybrid 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.

Data Engineer II at a comms service provider with 10,001+ employees
Ingests data from various sources, integrates well, and offers a helpful alert mechanism
Pros and Cons
- "Datadog agents act as an integration to different services, providing easy access and management."
- "Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
What is our primary use case?
Ingesting data from various sources to monitor the log metrics of the system and enabling an alert mechanism to notify the teammates if something goes wrong.
More specifically, having Datadog agents as integration to different services provides easy access and management.
How has it helped my organization?
The solution has helped out organization by allowing us to ingest data from various sources to monitor log metrics and enabling alert mechanisms to notify teams if something goes wrong.
Datadog agents act as an integration to different services, providing easy access and management.
What is most valuable?
The solution is useful for ingesting data from various sources. This helps to monitor the log metrics of the system. It has alert mechanisms that can be enabled to notify the teams if something goes wrong.
Datadog offers good integration to different services. It provides for easy access and management.
What needs improvement?
Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted.
For how long have I used the solution?
We've used the solution for close to 1.5 years.
What other advice do I have?
We use a SaaS deployment.
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
March 2025

Learn what your peers think about Datadog. Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
839,422 professionals have used our research since 2012.
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?
We primarily use the dashboard/metric with many tags.
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.
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.
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

Buyer's Guide
Download our free Datadog Report and get advice and tips from experienced pros
sharing their opinions.
Updated: March 2025
Product Categories
Cloud Monitoring Software Application Performance Monitoring (APM) and Observability Network Monitoring Software IT Infrastructure Monitoring Log Management Container Monitoring AIOps Cloud Security Posture Management (CSPM)Popular Comparisons
Zabbix
New Relic
Azure Monitor
Elastic Observability
SolarWinds NPM
PRTG Network Monitor
ThousandEyes
Nagios XI
LogicMonitor
Centreon
Auvik Network Management (ANM)
Checkmk
ScienceLogic
Icinga
Amazon CloudWatch
Buyer's Guide
Download our free Datadog Report and get advice and tips from experienced pros
sharing their opinions.
Quick Links
Learn More: Questions:
- Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
- Any advice about APM solutions?
- Which would you choose - Datadog or Dynatrace?
- What is the biggest difference between Datadog and New Relic APM?
- Which monitoring solution is better - New Relic or Datadog?
- Do you recommend Datadog? Why or why not?
- How is Datadog's pricing? Is it worth the price?
- Anyone switching from SolarWinds NPM? What is a good alternative and why?
- Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
- What cloud monitoring software did you choose and why?