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.
I would rate Datadog a nine out of ten. I give it this rating because I think just catching some of the data delays and latency live could be a little bit better, but overall, I think it's been great. I would recommend Datadog and say that it's easy to customize and find what you're looking for.
Right now our users are in the middle of the beta test. At the beginning of rolling the test out, I probably used the replay videos more just as the users were getting more familiar with the tool. They were probably running into more errors than they would be at this point now that they're more used to the tool. So it kind of ebbs and flows; at the beginning of a test, I'm probably using it pretty frequently and then as it goes on, probably less often. It does help resolve issues faster, especially because our sales reps are used to working really quickly in terms of the sales registration, as they're racing through it. They're more likely to accidentally click something or click something incorrectly and not fully pay attention to what they're doing because they're just used to their flow. Being able to go back and watch the replay and see that a person clicked this button when they intended to click another button, or identifying the action that caused an error versus going off of their memory. I have not noticed any measurable outcomes in terms of reduction in support tickets or faster resolution times since I started using Datadog. For myself, looking at the users in our beta test group, none of those came as a result of any sort of support ticket. It came from messages in Microsoft Teams with all the people in the beta group. We have resulted in fewer messages in relation to the beta test because they are more familiar with the tool. Now that they know there might be differences in terms of what their usual flow is versus how their flow is during the beta test group, they are resulting in fewer messages because they are probably being more careful or they've figured out those inflection points that would result in an error. My biggest piece of advice for others looking into using Datadog would be to use the filters based on user ID; it will save so much time in terms of troubleshooting specific error interactions or occurrences. I would also suggest having a UI that's more simple for people that are less technical. For example, logging into Datadog, the dashboard is pretty overwhelming in terms of all of the bar charts and options; I think having a more simplified toggle for people that are not looking for all of the options in terms of data, and then having a more technical toggle for people that are looking for more granular data, would be helpful. I rate Datadog 10 out of 10.
I cannot definitively say MTTR has improved as I don't have access to those numbers and don't want to make misleading statements. Developers use it significantly more than our old observability tool. We've seen some cost savings, but we have to be significantly more cost-aware with Datadog than with our previous observability tool because there's more fluctuation and variation in the cost. One pain point is that it has caused us to spend too much time thinking about the bill. Understand that while it is an administrative hassle, it is very rewarding to developers. On a scale of 1-10, I rate Datadog an 8 out of 10.
Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees
Real User
Top 20
Oct 16, 2025
After reducing log and custom metric volumes, we notice a significant reduction in costs without any performance issues on our end, actually seeing a lot of cost reductions. I strongly recommend using Datadog, but suggest being proactive about resource usage and tracking anomalies monthly. I find the interview process okay, although it runs longer than I expected, exceeding the anticipated 10 minutes. My rating for Datadog is 8 out of 10.
S30334808 Software Engineer II at a wholesaler/distributor with 10,001+ employees
Real User
Top 20
Oct 16, 2025
I would rate Datadog overall as eight out of ten. My advice for others looking into using Datadog is to be ready to spend a lot of time setting it up and make sure you have a good plan in terms of analyzing the finances because it can easily cost a lot of money to install agents on your service hosts.
Senior Custom Software Development Consultant at a tech vendor with 501-1,000 employees
Real User
Top 10
Oct 16, 2025
A general impression is that Datadog saves time because the ability to search, even over the vast amount of AWS realms and time spans that we have, is significantly faster compared to other solutions that I've used that have served similar purposes. I would advise others looking into using Datadog to identify various components within their organization that could benefit from pulling that information in and how to effectively parse and process all of it before getting involved in a task, so they know what to look for. Specifically, when searching for data, if a metric can be pulled out into an individual facet and used, the amount of filtering that can be done is significantly improved compared to a general text search. I would love to figure out how to use Datadog more effectively in the organization work that I do, but that is a discussion I need to have with our operations and research and development teams to determine if it can benefit the customer or the specific implementation software that I work with. On a scale of one to ten, I rate Datadog a ten out of ten.
Manager, Security Engineering at a tech vendor with 51-200 employees
Real User
Top 20
Oct 16, 2025
I would rate Datadog an eight out of ten because while it is expensive, it offers numerous features, though sometimes it attempts to do too much. My advice to others considering Datadog is to explore other products and calculate potential spending carefully. If Terraform support is important to your organization, then Datadog is an excellent choice. However, keep in mind that costs will increase significantly as you scale, and different features have varying pricing structures. Overall rating: 8/10
I would advise others looking into using Datadog to evaluate it against other competing properties and applications in the space, and really dig in. You will find that Datadog does what it's supposed to do very quickly, very efficiently, as does it more cost competitively than some of the other offerings. Datadog is deployed in my organization in both on-prem and in public cloud scenarios. On a scale of one to ten, I rate Datadog a nine overall.
I personally don't use the personalized dashboards and alerting, but I've seen some nice use cases from others on my team. On a scale of 1-10, I rate Datadog an 8.
Operations Manager at a financial services firm with 1,001-5,000 employees
Real User
Top 20
Oct 16, 2025
I don't have anything else to mention about the features, including integrations, alerts, or ease of setup. I am unsure what advice I would give to others looking into using Datadog. I found this interview impressive for AI, and I do not think there is anything I would change for the future. On a scale of one to ten, I rate Datadog a 10.
My advice to others looking into using Datadog is that if cost is not a concern, I would recommend them to use it. However, if they are sensitive or concerned about how much money they want to spend, then maybe Datadog is not the solution for them. I would rate Datadog overall as eight out of ten, though I find it too costly.
My advice for others looking into using Datadog is to honestly give yourself a week or two to explore all the features and software application, as there are quite a lot of amazing features to learn and utilize, making it not just a software to monitor threats but also a tool to enhance your knowledge in this industry. I rate Datadog 10 out of 10.
My advice for others looking into using Datadog is to keep exploring the tool and utilize the different modules and the different functionalities of features Datadog offers. There are multiple features and functionalities available with the Datadog agents which are really helpful and powerful to troubleshoot, alert, and monitor both applications and infrastructure. So far, all the features I have used in Datadog are amazing. It captures all the logging information which I have, and I can include the links of Datadog transactions on my Splunk logs. It is integrated with Splunk and other platforms, which is great. On a scale of one to ten, I rate Datadog a nine.
I rate Datadog an eight out of ten because the expense of using it keeps it from being a nine or ten. My advice to others looking into using Datadog is to brush up on their API programming skills. My overall rating for Datadog is eight out of ten.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
Real User
Top 20
Oct 16, 2025
My advice to others looking into using Datadog is that it is good and they should use it. I don't know if my company has a business relationship with this vendor other than being a customer. On a scale of 1-10, I rate Datadog a 9.
Applications Web Services Technical Engineer at Ace Hardware
Real User
Top 20
Oct 16, 2025
I'm excited to learn more about the application and can't wait as my knowledge expands, all the exciting things that we might be able to do with the tool. I rate Datadog an 8 out of 10, only because I haven't had the ability to explore everything that I intend to explore, and some of the more complex monitors that I want to create I'm just not able to intuitively do. But that might be on me and not the product. The complexity and my lack of knowledge related to all the features and how I can use them keep it from being a 10 for me. I would advise others looking into using Datadog to do more training and become much more familiar with the product before going live with it. There are so many wonderful things that can be done with it that it's a little overwhelming to only attempt to configure those or investigate them when the product's already live. I'm excited to continue to learn and explore the tool. It's giving me some insight into systems that I have not had for the past 17 years, so it's exciting to be able to see that and put it to use almost immediately.
I am not working with any of these solutions currently because I'm on sabbatical, but I used to work with Datadog six months ago, and now at the moment I'm on sabbatical. We were using the tools that AWS and Azure came with natively to monitor the AI workflows on their platforms. I used to work as the CTO at Northcloud, but I no longer work there. On a scale of one to ten, I rate Datadog an eight out of ten.
Datadog is a great service that is continually growing its solution for monitoring and security. It is easy to set up and turn on and off its features once you have instrumented agents and tailored solutions to your needs.
If you're thinking about using Datadog for the first time, I suggest getting some basic training in data operations. It'll help you navigate Datadog more easily. Learning it for the first time is not overly difficult, but it's also not very easy. I would rate the tool a seven out of ten. While it's a useful tool, we've experienced some issues that haven't been resolved yet. Additionally, setting up dashboards and utilizing all the features requires some training.
Product SRE at a computer software company with 51-200 employees
Real User
Oct 25, 2022
It would be nicer if the pricing information was easier to find in the documentation. Sometimes it helps to get an overall idea of the cost of certain options.
Production engineer at a consultancy with 51-200 employees
Real User
Oct 25, 2022
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.
Staff Engineer at a tech services company with 1,001-5,000 employees
Real User
Oct 24, 2022
Adding more tooltips and links to documentation or how-tos within the application would really go a long way for those trying to get their feet wet with Datadog.
Lead Blockchain and Back-End Developer at Torum Technology
Real User
Sep 28, 2022
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.
AWS Cloud Architect Consultant at a manufacturing company with 10,001+ employees
Real User
Sep 19, 2022
The solution is appropriate for companies that are moving to the cloud and want a very solid tool for observability, logging, and everything related to SRE practices. I rate the solution a nine out of ten.
Senior Engineer at a educational organization with 5,001-10,000 employees
Real User
Aug 15, 2022
Even with our negative experiences, I'd still give Datadog an eight out of 10. Datadog is a complete solution with easy-to-use templates and excellent scalability. People should know exactly what they're going to configure before they try it out. The trial is brief. Don't start a trial until you know exactly what you're going to do. You must be certain that you can meet any internal security requirements. If you're in the Asia-Pacific region, you might not be able to run something that's running abroad.
Principal Solutions Architect at a security firm with 51-200 employees
Real User
Jul 18, 2022
I am a customer and end-user. We’re on the most recent version and keep it updated. I’d rate it nine out of ten. The user experience could be slightly better.
I'm providing Datadog. I'm a retailer. I would recommend the solution. I would suggest if their environment is in the cloud, companies have their environments in the public cloud, such as GCP, Azure, or AWS. Datadog is a very good candidate to provide an overview of the monitoring. If you want to consider a hybrid solution where systems and servers and applications also provide a good solution and have a lot of APM capabilities, the only drawback will be network monitoring. When you grab a tool that you want to basically monitor the entire environment at a single point of contact, with Datadog, it's possible, however, there's not an effective tool to do network monitoring. I'd rate the solution seven out of ten.
Datadog is far better than any other monitoring tool in introducing any of the new capabilities because they think before Amazon AWS and Microsoft Azure before they introduce the concepts. Datadog is a good tool to have for monitoring your own infrastructure. I rate Datadog a ten out of ten.
IT Test Manager at a transportation company with 10,001+ employees
Real User
Mar 29, 2022
I would suggest using the documentation, which is quite good. It's best to start with existing integrations, and then do the customization step-by-step. I rate this solution eight out of 10.
Senior Manager - Cloud & DevOps at Publicis Sapient
Real User
Feb 20, 2022
If someone wants to set up Datadog on-premise or in any of the Cloud machines, they have to consider a lot of things from the auto-scaling perspective. My recommendation is Datadog is very good. Your team can mainly focus on the development rather than the solution itself. The vendor is going to take care of auto-scaling and maintenance and everything for you. I rate Datadog a nine out of ten.
AWS Cloud Architect Consultant at a transportation company with 10,001+ employees
Real User
Feb 9, 2022
Normally, the primary reason why people use these kind of tools is observability, but right from the beginning you have to understand what observability is, what it means for your company, and how the tool is going to help you to capture the proper metrics for making your applications observable.
Senior Manager, Cyber Digital Transformation at a security firm with 1,001-5,000 employees
Real User
Feb 8, 2022
To get started with this solution, I would recommend front-loading it with some sort of data or process and filter out to view only the information you need. I would rate this solution a nine out of ten.
Chief Strategy Officer (CSO) at a computer software company with 11-50 employees
Real User
Feb 4, 2022
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.
Performance Testing Manager at a tech services company with 10,001+ employees
Real User
Dec 27, 2021
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.
Senior Cyber Security Expert at a security firm with 11-50 employees
Real User
Sep 9, 2021
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.
Director of Cloud Operations at a tech services company with 11-50 employees
Consultant
Mar 29, 2021
I would advise others to review the overall functionality. If you're looking for different APN tools, then Datadog is a good tool. If you're not looking for it to handle all aspects of your environment and your application from the security infrastructure aspect, there are other tools out there that you could possibly utilize for each one of those areas. We do a lot of proof of concepts in helping our customers understand the micro and macro pieces of deployment. We're able to be a true advocate and value-add for our customers in utilizing the tool. I would rate Datadog a seven out of ten. This space is a very competitive space, and a lot of organizations are trying to figure out how to become better in the full life cycle of a deployment. There'll be a lot of changes for different companies going forward.
Head of Digital & Cognitive Services at a tech company with 11-50 employees
Real User
Mar 23, 2021
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.
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.
Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees
Real User
Feb 19, 2021
If you're interested in using Datadog, just do your homework, as we did. We're happy so far I think; time will tell as we are still rolling things out. It's a very good company. It's going to be a year before we really can tell anything. If you do your homework, you'll find that if you're really concerned with cost, it's good. There are some strengths that AppDynamics and Dynatrace have that Datadog I don't think will have down the road, but they're not things we necessarily need — they're outliers. It would be nice to have them, but we can manage without them. Know what you want. There is no need to pay for solutions like Dynatrace or AppDynamics that are more expensive or things that are just nice to have if you don't absolutely need to have them. That's something people need to understand. You just have to make sure you understand what it is that you need out of the tool — they are all a little different, those three. I would say to anybody that's going with Datadog: you just have to be patient at the beginning. It's a very busy company right now. They're very hot in the market. Overall, on a scale from one to ten, I would give Datadog a rating of eight. It does what we need it to do, and it seems to be pretty user-friendly in terms of setting things up. Features-wise, I'd give them a rating of ten out of ten. The better access we get to assistance from the engineers on how to configure dashboards and pulling metrics that we need, that would bring it up a little bit. So overall it would be harder and it would have to be perfect for it. I would say maybe they could bring it to a nine.
Senior Manager, Site Reliability Engineering at Extra Space Storage
Real User
Top 20
Jan 25, 2021
Datadog requires pretty close supervision on the usage page to ensure you aren't going out of control. They have provided a bunch of new features to assist in retention percentage, but it can be a bit confusing on what is being retained, and what can be viewed again after triggering an alert. It's a difficult balance of making sure you are getting the right data for alerts, and still having the correct information still available for research after the fact.
Overall, the Datadog product is really good. It doesn't need a sales team and yet, the sales team has screwed up on some occasions. It's a great product and the customer success needs to put an extra effort to help customers with best practices rather than passing them off to support. Customer success doesn't evangelize product features and the customer doesn't know what new is coming unless they ask about it.
We are very pleased with Datadog overall. Datadog has assigned an account rep to us that meets with us regularly to make sure all our needs are being met and help us get answers to any questions or issues we are running up against. They have been of great helping us standup monitoring of our Kubernetes environment.
Technology Competency and Solution Head at LearningMate
Real User
Nov 25, 2020
This is a good product and I can recommend it to others, although New Relic is still my first choice. Datadog is my second choice. Overall, it is a good product and my main complaint is that it needs better error traceability. I would rate this solution a nine out of ten.
Senior Cloud Security Engineer at a financial services firm with 201-500 employees
Real User
Oct 21, 2020
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.
Datadog started off at the infrastructure level, and New Relic started off at the application level. Both of them were expanding not only into each other's space but also into the SIM space. There are a lot of options out there. For folks like me, it becomes a costly proposition because, at the end of the day, we're talking about logs, events that get pushed out. I have to push out some to Datadog and some to the security event manager. Then you start to think why can't you just push them to one place and let a product do that. That's where these products are trying to grow. They're not quite there yet because the SIM space is pretty mature. An enterprise like ours needs something fully focused and dedicated. Startups can live with New Relic that has a security capability or Datadog. I would advise you to really understand the value that you're trying to go after. Make sure that you're not trying to solve all problems that you have from the observability perspective with Datadog because that will erode the value you get out of this solution. Make sure that you are going to use Datadog for infrastructure, and it is going to be great. If you start adding other kinds of stuff to it, you'll probably start losing some of that value. Especially, if you want to go for application-level monitoring, you may be a bit disappointed. I would rate this solution a six out of ten. I'm a very price-conscious kind of purchaser.
This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space. My advice to anybody who is researching this solution is to consider it within the top three. That said, there are some features and metrics that are available in other products, such as Dynatrace, that are not available in Datadog. I would rate this solution an eight out of ten.
Director of Engineering at a tech vendor with 201-500 employees
Real User
Dec 11, 2018
Check out Datadog. It is awesome. The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it. We have only used the SaaS offering, but not AWS nor on-premise.
If you are monitoring the metrics and insights in your application, and need help monitoring, then this is a great application to look into. The app is always available. It has a clean UI and provides the metrics that you will need. It is a good product. Right now, we only using it on this one application.
Try out some of the other products in comparison. This is a good product if you are looking for notifications and custom metrics. We have always used the cloud version of this product. This product also integrates with Slack and PagerDuty.
Take the time to explore it and see all the metrics which are available. The metrics make the reporting better. Spend the time and learn the metrics. The things that they can send and give you are good. Learn how to aggregate them and how to write more complex queries, which they do a good job of showing how to do, but I found that newer people don't do this. They just try to use the baseline set of features. Doing the more complex stuff adds significant value. We have PagerDuty integrated with it, as well as all of AWS. Those are the big ones we have running through it. It integrates well. It essentially replaces CloudWatch, so we can just use Datadog, which is nice. The biggest thing that they provide is putting everything in one spot. I have just used the AWS version.
Senior Solutions Architect at a tech services company with 11-50 employees
MSP
Dec 11, 2018
Check the APIs very carefully. Without fail, this is the single biggest complaint for automation and operations. It is not that it can't be done. Just make sure that you have the technical expertise to work around it. We use a mixture of both AWS and on-premise. There are actually three scenarios: * Some of our customers purchase it for AWS. * Some of them were accounts that we set up directly on Datadog for our customers. * In some cases, customers already have a relationship with Datadog. Those are the three scenarios. Some have a mixture of scenarios due to regulatory reasons.
Principal Engineer at a comms service provider with 51-200 employees
Real User
Dec 11, 2018
Give it a try. It is a good tool for creating statistics and analytics with data. Anyone who uses a large amount of data and want insights on the analytics of their data. They can just dump into the tool, and it will do all the heavy lifting.
Site Reliability Engineer at a computer software company with 201-500 employees
Real User
Dec 4, 2018
Give Datadog a try. It's the leader in this space. I have only used the AWS version of the product. They have a thing for the color purple, but it is all good.
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for...
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.
I would rate Datadog a nine out of ten. I give it this rating because I think just catching some of the data delays and latency live could be a little bit better, but overall, I think it's been great. I would recommend Datadog and say that it's easy to customize and find what you're looking for.
Right now our users are in the middle of the beta test. At the beginning of rolling the test out, I probably used the replay videos more just as the users were getting more familiar with the tool. They were probably running into more errors than they would be at this point now that they're more used to the tool. So it kind of ebbs and flows; at the beginning of a test, I'm probably using it pretty frequently and then as it goes on, probably less often. It does help resolve issues faster, especially because our sales reps are used to working really quickly in terms of the sales registration, as they're racing through it. They're more likely to accidentally click something or click something incorrectly and not fully pay attention to what they're doing because they're just used to their flow. Being able to go back and watch the replay and see that a person clicked this button when they intended to click another button, or identifying the action that caused an error versus going off of their memory. I have not noticed any measurable outcomes in terms of reduction in support tickets or faster resolution times since I started using Datadog. For myself, looking at the users in our beta test group, none of those came as a result of any sort of support ticket. It came from messages in Microsoft Teams with all the people in the beta group. We have resulted in fewer messages in relation to the beta test because they are more familiar with the tool. Now that they know there might be differences in terms of what their usual flow is versus how their flow is during the beta test group, they are resulting in fewer messages because they are probably being more careful or they've figured out those inflection points that would result in an error. My biggest piece of advice for others looking into using Datadog would be to use the filters based on user ID; it will save so much time in terms of troubleshooting specific error interactions or occurrences. I would also suggest having a UI that's more simple for people that are less technical. For example, logging into Datadog, the dashboard is pretty overwhelming in terms of all of the bar charts and options; I think having a more simplified toggle for people that are not looking for all of the options in terms of data, and then having a more technical toggle for people that are looking for more granular data, would be helpful. I rate Datadog 10 out of 10.
I cannot definitively say MTTR has improved as I don't have access to those numbers and don't want to make misleading statements. Developers use it significantly more than our old observability tool. We've seen some cost savings, but we have to be significantly more cost-aware with Datadog than with our previous observability tool because there's more fluctuation and variation in the cost. One pain point is that it has caused us to spend too much time thinking about the bill. Understand that while it is an administrative hassle, it is very rewarding to developers. On a scale of 1-10, I rate Datadog an 8 out of 10.
After reducing log and custom metric volumes, we notice a significant reduction in costs without any performance issues on our end, actually seeing a lot of cost reductions. I strongly recommend using Datadog, but suggest being proactive about resource usage and tracking anomalies monthly. I find the interview process okay, although it runs longer than I expected, exceeding the anticipated 10 minutes. My rating for Datadog is 8 out of 10.
I would rate Datadog overall as eight out of ten. My advice for others looking into using Datadog is to be ready to spend a lot of time setting it up and make sure you have a good plan in terms of analyzing the finances because it can easily cost a lot of money to install agents on your service hosts.
A general impression is that Datadog saves time because the ability to search, even over the vast amount of AWS realms and time spans that we have, is significantly faster compared to other solutions that I've used that have served similar purposes. I would advise others looking into using Datadog to identify various components within their organization that could benefit from pulling that information in and how to effectively parse and process all of it before getting involved in a task, so they know what to look for. Specifically, when searching for data, if a metric can be pulled out into an individual facet and used, the amount of filtering that can be done is significantly improved compared to a general text search. I would love to figure out how to use Datadog more effectively in the organization work that I do, but that is a discussion I need to have with our operations and research and development teams to determine if it can benefit the customer or the specific implementation software that I work with. On a scale of one to ten, I rate Datadog a ten out of ten.
I would rate Datadog an eight out of ten because while it is expensive, it offers numerous features, though sometimes it attempts to do too much. My advice to others considering Datadog is to explore other products and calculate potential spending carefully. If Terraform support is important to your organization, then Datadog is an excellent choice. However, keep in mind that costs will increase significantly as you scale, and different features have varying pricing structures. Overall rating: 8/10
I would advise others looking into using Datadog to evaluate it against other competing properties and applications in the space, and really dig in. You will find that Datadog does what it's supposed to do very quickly, very efficiently, as does it more cost competitively than some of the other offerings. Datadog is deployed in my organization in both on-prem and in public cloud scenarios. On a scale of one to ten, I rate Datadog a nine overall.
I personally don't use the personalized dashboards and alerting, but I've seen some nice use cases from others on my team. On a scale of 1-10, I rate Datadog an 8.
On a scale of 1-10, I rate Datadog an 8.
I don't have anything else to mention about the features, including integrations, alerts, or ease of setup. I am unsure what advice I would give to others looking into using Datadog. I found this interview impressive for AI, and I do not think there is anything I would change for the future. On a scale of one to ten, I rate Datadog a 10.
My advice to others looking into using Datadog is that if cost is not a concern, I would recommend them to use it. However, if they are sensitive or concerned about how much money they want to spend, then maybe Datadog is not the solution for them. I would rate Datadog overall as eight out of ten, though I find it too costly.
My advice for others looking into using Datadog is to honestly give yourself a week or two to explore all the features and software application, as there are quite a lot of amazing features to learn and utilize, making it not just a software to monitor threats but also a tool to enhance your knowledge in this industry. I rate Datadog 10 out of 10.
My advice for others looking into using Datadog is to keep exploring the tool and utilize the different modules and the different functionalities of features Datadog offers. There are multiple features and functionalities available with the Datadog agents which are really helpful and powerful to troubleshoot, alert, and monitor both applications and infrastructure. So far, all the features I have used in Datadog are amazing. It captures all the logging information which I have, and I can include the links of Datadog transactions on my Splunk logs. It is integrated with Splunk and other platforms, which is great. On a scale of one to ten, I rate Datadog a nine.
I rate Datadog an eight out of ten because the expense of using it keeps it from being a nine or ten. My advice to others looking into using Datadog is to brush up on their API programming skills. My overall rating for Datadog is eight out of ten.
My advice to others looking into using Datadog is that it is good and they should use it. I don't know if my company has a business relationship with this vendor other than being a customer. On a scale of 1-10, I rate Datadog a 9.
I'm excited to learn more about the application and can't wait as my knowledge expands, all the exciting things that we might be able to do with the tool. I rate Datadog an 8 out of 10, only because I haven't had the ability to explore everything that I intend to explore, and some of the more complex monitors that I want to create I'm just not able to intuitively do. But that might be on me and not the product. The complexity and my lack of knowledge related to all the features and how I can use them keep it from being a 10 for me. I would advise others looking into using Datadog to do more training and become much more familiar with the product before going live with it. There are so many wonderful things that can be done with it that it's a little overwhelming to only attempt to configure those or investigate them when the product's already live. I'm excited to continue to learn and explore the tool. It's giving me some insight into systems that I have not had for the past 17 years, so it's exciting to be able to see that and put it to use almost immediately.
I am not working with any of these solutions currently because I'm on sabbatical, but I used to work with Datadog six months ago, and now at the moment I'm on sabbatical. We were using the tools that AWS and Azure came with natively to monitor the AI workflows on their platforms. I used to work as the CTO at Northcloud, but I no longer work there. On a scale of one to ten, I rate Datadog an eight out of ten.
I would rate this solution eight out of ten.
Datadog is a great service that is continually growing its solution for monitoring and security. It is easy to set up and turn on and off its features once you have instrumented agents and tailored solutions to your needs.
Excited to dig further into the new offerings around LLM and continue to grow our footprint in Datadog.
It's a very powerful tool, with lots of new features coming, but you certainly will pay for what you get.
We are excited to explore the new offerings around LLM further and continue to expand our presence in Datadog.
We're excited to explore the new offerings around LLM further and continue to expand our presence in Datadog.
We are excited to dig further into the new offerings around LLM and continue to grow our footprint in Datadog.
If you're thinking about using Datadog for the first time, I suggest getting some basic training in data operations. It'll help you navigate Datadog more easily. Learning it for the first time is not overly difficult, but it's also not very easy. I would rate the tool a seven out of ten. While it's a useful tool, we've experienced some issues that haven't been resolved yet. Additionally, setting up dashboards and utilizing all the features requires some training.
I rate Datadog a seven out of ten.
I rate Datadog a nine out of ten.
I rate the solution eight out of ten.
The solution is a SaaS.
We use all versions of the solution.
It is hard to educate an entire team. There is a big learning curve.
It would be nicer if the pricing information was easier to find in the documentation. Sometimes it helps to get an overall idea of the cost of certain options.
We use the solution as a SaaS deployment.
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.
We work with all product versions.
We use a SaaS deployment.
We use a SaaS deployment.
There is nothing that the documentation cannot help with; it's very good.
I'd advise other users to try it out.
The solution has a great support model.
So far, it's been great!
We always keep the Datadog agent to the latest version.
We use the solution as a SaaS.
We use the SaaS version of the product.
Adding more tooltips and links to documentation or how-tos within the application would really go a long way for those trying to get their feet wet with Datadog.
The solution is deployed as a SaaS.
We are using the latest version of the solution. I'd rate the solution seven out of ten.
I rate the solution an eight out of ten.
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.
The solution is appropriate for companies that are moving to the cloud and want a very solid tool for observability, logging, and everything related to SRE practices. I rate the solution a nine out of ten.
Overall, Datadog is a good product to use and is easy to deploy. I would rate this solution a nine out of ten.
Even with our negative experiences, I'd still give Datadog an eight out of 10. Datadog is a complete solution with easy-to-use templates and excellent scalability. People should know exactly what they're going to configure before they try it out. The trial is brief. Don't start a trial until you know exactly what you're going to do. You must be certain that you can meet any internal security requirements. If you're in the Asia-Pacific region, you might not be able to run something that's running abroad.
I am a customer and end-user. We’re on the most recent version and keep it updated. I’d rate it nine out of ten. The user experience could be slightly better.
I'm providing Datadog. I'm a retailer. I would recommend the solution. I would suggest if their environment is in the cloud, companies have their environments in the public cloud, such as GCP, Azure, or AWS. Datadog is a very good candidate to provide an overview of the monitoring. If you want to consider a hybrid solution where systems and servers and applications also provide a good solution and have a lot of APM capabilities, the only drawback will be network monitoring. When you grab a tool that you want to basically monitor the entire environment at a single point of contact, with Datadog, it's possible, however, there's not an effective tool to do network monitoring. I'd rate the solution seven out of ten.
Datadog is far better than any other monitoring tool in introducing any of the new capabilities because they think before Amazon AWS and Microsoft Azure before they introduce the concepts. Datadog is a good tool to have for monitoring your own infrastructure. I rate Datadog a ten out of ten.
I would suggest using the documentation, which is quite good. It's best to start with existing integrations, and then do the customization step-by-step. I rate this solution eight out of 10.
If someone wants to set up Datadog on-premise or in any of the Cloud machines, they have to consider a lot of things from the auto-scaling perspective. My recommendation is Datadog is very good. Your team can mainly focus on the development rather than the solution itself. The vendor is going to take care of auto-scaling and maintenance and everything for you. I rate Datadog a nine out of ten.
Normally, the primary reason why people use these kind of tools is observability, but right from the beginning you have to understand what observability is, what it means for your company, and how the tool is going to help you to capture the proper metrics for making your applications observable.
To get started with this solution, I would recommend front-loading it with some sort of data or process and filter out to view only the information you need. I would rate this solution a nine out of ten.
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.
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.
On a scale of one to ten, I would rate Datadog a nine, just because of the missing feature of checking websites.
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.
I would recommend this solution to others. I would rate Datadog an eight out of ten.
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.
I rate Datadog a nine out of ten.
I rate Datadog nine out of ten.
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.
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.
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 rate Datadog a nine out of ten.
I would advise others to review the overall functionality. If you're looking for different APN tools, then Datadog is a good tool. If you're not looking for it to handle all aspects of your environment and your application from the security infrastructure aspect, there are other tools out there that you could possibly utilize for each one of those areas. We do a lot of proof of concepts in helping our customers understand the micro and macro pieces of deployment. We're able to be a true advocate and value-add for our customers in utilizing the tool. I would rate Datadog a seven out of ten. This space is a very competitive space, and a lot of organizations are trying to figure out how to become better in the full life cycle of a deployment. There'll be a lot of changes for different companies going forward.
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.
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.
If you're interested in using Datadog, just do your homework, as we did. We're happy so far I think; time will tell as we are still rolling things out. It's a very good company. It's going to be a year before we really can tell anything. If you do your homework, you'll find that if you're really concerned with cost, it's good. There are some strengths that AppDynamics and Dynatrace have that Datadog I don't think will have down the road, but they're not things we necessarily need — they're outliers. It would be nice to have them, but we can manage without them. Know what you want. There is no need to pay for solutions like Dynatrace or AppDynamics that are more expensive or things that are just nice to have if you don't absolutely need to have them. That's something people need to understand. You just have to make sure you understand what it is that you need out of the tool — they are all a little different, those three. I would say to anybody that's going with Datadog: you just have to be patient at the beginning. It's a very busy company right now. They're very hot in the market. Overall, on a scale from one to ten, I would give Datadog a rating of eight. It does what we need it to do, and it seems to be pretty user-friendly in terms of setting things up. Features-wise, I'd give them a rating of ten out of ten. The better access we get to assistance from the engineers on how to configure dashboards and pulling metrics that we need, that would bring it up a little bit. So overall it would be harder and it would have to be perfect for it. I would say maybe they could bring it to a nine.
Datadog requires pretty close supervision on the usage page to ensure you aren't going out of control. They have provided a bunch of new features to assist in retention percentage, but it can be a bit confusing on what is being retained, and what can be viewed again after triggering an alert. It's a difficult balance of making sure you are getting the right data for alerts, and still having the correct information still available for research after the fact.
Overall, the Datadog product is really good. It doesn't need a sales team and yet, the sales team has screwed up on some occasions. It's a great product and the customer success needs to put an extra effort to help customers with best practices rather than passing them off to support. Customer success doesn't evangelize product features and the customer doesn't know what new is coming unless they ask about it.
Datadog is already covering much more than we normally need with exceptional quality. This is a great product.
Please add PHP profiling soon!
We are very pleased with Datadog overall. Datadog has assigned an account rep to us that meets with us regularly to make sure all our needs are being met and help us get answers to any questions or issues we are running up against. They have been of great helping us standup monitoring of our Kubernetes environment.
This is a good product and I can recommend it to others, although New Relic is still my first choice. Datadog is my second choice. Overall, it is a good product and my main complaint is that it needs better error traceability. I would rate this solution a nine out of ten.
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.
Datadog started off at the infrastructure level, and New Relic started off at the application level. Both of them were expanding not only into each other's space but also into the SIM space. There are a lot of options out there. For folks like me, it becomes a costly proposition because, at the end of the day, we're talking about logs, events that get pushed out. I have to push out some to Datadog and some to the security event manager. Then you start to think why can't you just push them to one place and let a product do that. That's where these products are trying to grow. They're not quite there yet because the SIM space is pretty mature. An enterprise like ours needs something fully focused and dedicated. Startups can live with New Relic that has a security capability or Datadog. I would advise you to really understand the value that you're trying to go after. Make sure that you're not trying to solve all problems that you have from the observability perspective with Datadog because that will erode the value you get out of this solution. Make sure that you are going to use Datadog for infrastructure, and it is going to be great. If you start adding other kinds of stuff to it, you'll probably start losing some of that value. Especially, if you want to go for application-level monitoring, you may be a bit disappointed. I would rate this solution a six out of ten. I'm a very price-conscious kind of purchaser.
This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space. My advice to anybody who is researching this solution is to consider it within the top three. That said, there are some features and metrics that are available in other products, such as Dynatrace, that are not available in Datadog. I would rate this solution an eight out of ten.
Check out Datadog. It is awesome. The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it. We have only used the SaaS offering, but not AWS nor on-premise.
If you are monitoring the metrics and insights in your application, and need help monitoring, then this is a great application to look into. The app is always available. It has a clean UI and provides the metrics that you will need. It is a good product. Right now, we only using it on this one application.
Try out some of the other products in comparison. This is a good product if you are looking for notifications and custom metrics. We have always used the cloud version of this product. This product also integrates with Slack and PagerDuty.
Take the time to explore it and see all the metrics which are available. The metrics make the reporting better. Spend the time and learn the metrics. The things that they can send and give you are good. Learn how to aggregate them and how to write more complex queries, which they do a good job of showing how to do, but I found that newer people don't do this. They just try to use the baseline set of features. Doing the more complex stuff adds significant value. We have PagerDuty integrated with it, as well as all of AWS. Those are the big ones we have running through it. It integrates well. It essentially replaces CloudWatch, so we can just use Datadog, which is nice. The biggest thing that they provide is putting everything in one spot. I have just used the AWS version.
Check the APIs very carefully. Without fail, this is the single biggest complaint for automation and operations. It is not that it can't be done. Just make sure that you have the technical expertise to work around it. We use a mixture of both AWS and on-premise. There are actually three scenarios: * Some of our customers purchase it for AWS. * Some of them were accounts that we set up directly on Datadog for our customers. * In some cases, customers already have a relationship with Datadog. Those are the three scenarios. Some have a mixture of scenarios due to regulatory reasons.
Give it a try. It is a good tool for creating statistics and analytics with data. Anyone who uses a large amount of data and want insights on the analytics of their data. They can just dump into the tool, and it will do all the heavy lifting.
Take advantage of Datadog's trial period, and really beat it up, then give them a call. We use the web service for this product.
Give Datadog a try. It's the leader in this space. I have only used the AWS version of the product. They have a thing for the color purple, but it is all good.