I intend to use Datadog for application performance monitoring, digital user experiences, and troubleshooting to find the root cause analysis of tickets that will be generated in my managed environment. Digital user experience happens to be the priority for me, as I am evaluating this feature across some competing products.
Datadog Agent
DatadogExternal reviews
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Unmatched Reliability and Observability You Can Trust
What do you like best about the product?
What I appreciate most about DataDog are its reliability and observability. Even during major global outages, such as those affecting Cloudflare and AWS, DataDog continued to perform without any issues. The APM, RUM, and Synthetic Checks are exceptionally dependable, giving me the confidence to choose DataDog without hesitation.
What do you dislike about the product?
I wish the UI had a more modern look, as it currently feels like I'm using an old inventory management system from the 2000s.
What problems is the product solving and how is that benefiting you?
DataDog has been highly beneficial for us in many ways, from monitoring synthetic checks to tracking APM traces. The platform provides a map of interconnected, dependable services, allowing us to view latency and error rates all in one central location. The alerting mechanism is easy to use, supports numerous integrations, and consistently works smoothly.
Unified Monitoring (APM) That Accelerates Issue Diagnosis and Incident Resolution
What do you like best about the product?
Datadog brings infrastructure, applications, logs, and security signals together in one place, which makes it much easier to understand what is really happening in an environment and to move quickly from detection to action. The correlation between metrics, traces, and logs is particularly valuable when diagnosing incidents, as it reduces guesswork and speeds up root cause analysis.
What do you dislike about the product?
While Datadog is extremely powerful, it can become difficult to control and predict costs in large or rapidly changing environments, particularly when ingesting high volumes of logs, metrics, and traces. Without strong governance and regular tuning, usage can grow quickly and lead to unexpected spend.
In addition, the breadth of features can sometimes feel overwhelming. Teams need time and clear ownership to configure dashboards, alerts, and monitors properly; otherwise, there is a risk of noise, alert fatigue, or under-utilisation of the platform’s capabilities.
In addition, the breadth of features can sometimes feel overwhelming. Teams need time and clear ownership to configure dashboards, alerts, and monitors properly; otherwise, there is a risk of noise, alert fatigue, or under-utilisation of the platform’s capabilities.
What problems is the product solving and how is that benefiting you?
Datadog helps us centralise logs and monitor our Java applications and APIs, and provides APM (Application Performance Monitoring) to quickly detect performance issues and troubleshoot incidents or bottlenecks.
Intuitive Interface That Makes Data Insights Effortless
What do you like best about the product?
The user interface is very intuitive, making it easy to gain insights from the data. getting data into datadog is quite simple due to the multiple integrations, so it get's ready to use in a few clicks, support is responsive, my team uses it every day.
What do you dislike about the product?
In terms of cost, this platform is not inexpensive. Additionally, making bulk changes across multiple widgets is not straightforward, which can be inconvenient.
What problems is the product solving and how is that benefiting you?
We leverage Datadog to generate alerts and reports for our services, which helps us maintain higher uptime and gain better visibility into any issues that arise.
Comprehensive Tracking Capabilities That Impress
What do you like best about the product?
It offers almost every possible way to track the application interactions.
What do you dislike about the product?
It's very expensive, and it's not easy to grasp for newbies
What problems is the product solving and how is that benefiting you?
It gives us insights into our application services and it allows us to catch issues. Also, it provides session replays that allow us to quickly spot issues with the way users interact with our application.
Empowers Confident Monitoring and Insightful System Analysis
What do you like best about the product?
Datadog is a powerful tool that gives us greater confidence in our company's systems and enhances our ability to detect outages. It offers a wide range of features, most of which we actively use. Datadog provides essential insights into our systems, which helps us investigate problems, identify issues, and monitor performance, these being just a few of the ways we rely on Datadog.
What do you dislike about the product?
The cost is one of Datadog's biggest drawbacks, there are some products that would be helpful to use but the cost makes them impractical. The cost of Mobile App Testing testing comes to mind as an example for this.
Additionally, we have experienced some frustration due to pricing changes. Our previous SKUs were grandfathered, but we were eventually required to switch to the newer, more expensive SKU pricing.
Additionally, we have experienced some frustration due to pricing changes. Our previous SKUs were grandfathered, but we were eventually required to switch to the newer, more expensive SKU pricing.
What problems is the product solving and how is that benefiting you?
Datadog helps gives our company confidence in knowing that our systems are being monitored and that issues can be detected and addressed by our observability team promptly. We also use the information collected in Datadog to assess the overall health of our systems and drive investigations for any issues detected.
User-Friendly Dashboards with Comprehensive Analytics
What do you like best about the product?
It logs all the details we need for analysis. The platform is user-friendly, allowing us to easily set up various dashboards to view all the insights. Implementation is straightforward as well. We have integrated it with our different platforms, including both web and mobile.
What do you dislike about the product?
I have never encountered any major issues. However, there should be an option to retrieve data based on our own custom filters.
What problems is the product solving and how is that benefiting you?
We use Datadog for both performance monitoring and crash analytics. Previously, our main challenge was with crash reporting, as we struggled to debug or analyze crash data in our production environments. However, Datadog has helped us address this issue through its crash reports and log monitoring features.
Unmatched Reliability and Performance—A Must-Have Monitoring Tool
What do you like best about the product?
Datadog's reliability and performance is unmatched which makes it an absolute recommendation.
What do you dislike about the product?
Too many features/window are spread-out and could be consolidated/integrated better for easier UX.
What problems is the product solving and how is that benefiting you?
As a developer, DD has been my go to point to investigate any ongoing incidents or malfunctions in our services. The APM offer a great detailed view of the application performance and general health.
Where are the gaps? Yet to find one
What do you like best about the product?
Datadog has everything you could want for observability and alerting and incident management.
What do you dislike about the product?
Can be quite overwhelming on where to get started, you need to know exactly what you want to do to get into Datadog.
What problems is the product solving and how is that benefiting you?
Need a simple place to create dashboards and alerts that cover multiple cloud providers
Monitoring has improved digital experiences and speeds root cause analysis for incident tickets
What is our primary use case?
What is most valuable?
The best features Datadog offers are digital user experience, troubleshooting, and remediation capabilities, which help identify what is going wrong and where. I focused on the root cause analysis of incidents and tickets, as examining the RCAs makes it easier to find remediations and helps with shifting incidents left. Datadog will positively impact my organization by allowing me to handle ticket resolutions at a much faster pace and bring productivity by reducing the number of support engineers required at the monitoring level. If I integrate Datadog with my managed environment or cloud environment, the RCAs and all the left shift will be automated, and with automation, I will be able to reduce the number of support engineers.
What needs improvement?
Datadog could be improved with a simpler graphical user interface that can be extended to non-technical users, such as a CXO, if they want to review the dashboard overall for current tickets and the ticketing dashboard. It would be beneficial to have documentation auto-generated while examining remediations or integration with existing systems.
For how long have I used the solution?
I have been working for more than fifteen years in data center, disaster recovery solutions, and cloud computing, which includes private, public, and hybrid environments.
What do I think about the stability of the solution?
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
What do I think about the scalability of the solution?
I hope that Datadog will be able to extend to digital users, even if they are on a scale of thousands for an organization and connect to corporate bandwidth, and the server should be pretty much scalable on the server side.
How are customer service and support?
I find the customer support impressive from what I have heard about Datadog, and I really want to onboard this solution for my customers.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
As of now, we are using cloud-native monitoring with CloudWatch and Azure Monitor for our multi-cloud environment, and we really want to extend it to greater detail that will cover deliberations at greater depth. We have looked at ManageEngine and SolarWinds before choosing Datadog, but they were not very impressive, as the amount of Datadog functionality is not available in these two platforms.
How was the initial setup?
I am looking to deploy Datadog on AWS and Azure for multi-cloud management support and really want to extend it at the server side and at the end-user side for digital user experience. I will start with AWS and extend it to Azure six months down the line. I plan to purchase Datadog through the AWS Marketplace once I have the demo.
What was our ROI?
I am looking at metrics that will help me decide whether I need to really deploy Datadog, and the metrics will primarily be centered around reducing the number of employees and cost optimization.
What's my experience with pricing, setup cost, and licensing?
I did not get the complete information regarding the licenses and commercials associated with Datadog, and I would like to have some idea about the license.
What other advice do I have?
I hope to have some literature on how I can leverage my managed support for cloud environments, plus how I can integrate this with my managed support at the end-user devices. Finding the root cause analysis at greater depth, reducing the number of employees to manage or monitor infrastructure incidents, and increasing satisfaction on the application performance monitoring part are the advice I would give to others looking into using Datadog. I give this review a rating of eight.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Unified monitoring has streamlined global reporting and standardized alerts across teams
What is our primary use case?
My main use case for Datadog is that we offer the application performance management service within PwC as a global team.
A specific example of how my team uses Datadog for performance management is that my team does not directly use Datadog for performance management; however, we work with approximately 300 teams that use it daily for monitoring their apps. One of the most used cases is to observe when services are up and down and if services are not degraded.
We use most of every product within Datadog across the 300 customers that we have internally.
How has it helped my organization?
Datadog has positively impacted my organization because before Datadog, we had multiple APM tools and monitoring tools, which fragmented the service. The reason was that some tools offered benefits to certain teams, while other tools offered different benefits to other teams. With Datadog, we managed to get everyone on board into a single place and a single tool, providing teams with one spot where they can check everything related to monitoring, and enabling management and leadership to have an overview of all tools working together.
I measured the impact of bringing everything into one place through observation, and I can confirm that efficiency in reporting improved dramatically and it became much easier to observe changes. Standardization was a tremendous win for us. Having a set of standard alerts and monitoring in place allowed us to speed up onboarding for every app. Once the resources are in Datadog, the system provides alerting out of the box. Additionally, cost has decreased dramatically.
What is most valuable?
Datadog's best features include very high demand for logs management for alerting on indexed logs and a shift towards Flex Logs for storage and long-term storage. Most recently, BitsAI and the LLM part within Datadog has been in focus for us.
Flex Logs has helped my teams because we are migrating from other services to have a unique place to store all the logs, the non-security logs, and the app logs. This has benefited those teams because they also benefit from other services within Datadog such as APM or other monitoring solutions. By bringing the logs into Datadog, they now have a single place where they can correlate everything.
The LLM integration within Datadog has helped my teams because LLM usage is at the beginning stage right now, and people are very excited. We have all these AI and LLM-based tools, and having the option of monitoring them is a great benefit for us. However, we are in the exploratory phase of this process and have just begun.
BitsAI is very interesting; we have done some testing and we are going to promote it and use it in our production environment. This is a very exciting new tool for us.
What needs improvement?
Datadog can be improved because sometimes it seems it has not been developed for enterprises. We work with over 300 customers, with each customer having multiple instances or apps within Datadog. We are facing difficulties in controlling access, in privacy settings, and splitting usage and costs for these customers.
We want to be able to customize the cost part, and we would appreciate more granular access control.
For how long have I used the solution?
I have been using Datadog for four or five years.
What do I think about the stability of the solution?
Datadog is stable.
What do I think about the scalability of the solution?
We have never had an issue with Datadog's scalability.
How are customer service and support?
Datadog's customer support is good; it could be improved in terms of communication, but it is adequate.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
How was the initial setup?
My experience with pricing, setup cost, and licensing is good; nothing out of the ordinary.
Which other solutions did I evaluate?
Before choosing Datadog, the biggest contender we evaluated was AppDynamics.
What other advice do I have?
My advice for others looking into using Datadog is to test it out and see if it works for you. Try to become accustomed to the tagging part of things, and go through each product to understand what each product within Datadog is offering. I would rate this product an eight out of ten.
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