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reviewer2000472 - PeerSpot reviewer
Security Engineering Manager at a computer software company with 11-50 employees
Real User
Democratizes observability, great log searchability, and intuitive UI
Pros and Cons
  • "I find the greatest feature is being able to search across logs from various microservices."
  • "One area where I was really looking for improvement was the CSPM product line. I had really wanted to have team-level visibility for findings, since the team managing the resources has much more context and ability to resolve the issue, as the service owner. However, this has been added to the announcement in a recent keynote."

What is our primary use case?

I use the solution to manage security-related logs and metrics, as well as create detection rules for security events. I am a security engineer, so one area of interest is the CSPM product, giving us the ability to look at findings across the cloud environment. 

The great part about the Datadog security products is that they incorporate the context of the resources/hosts where the security event is found. This allows us to see exactly what is running on a host that we see as a security alert.

How has it helped my organization?

The greatest impact it has had is on the ability to democratize observability and put monitoring into the hands of the people. Teams can quickly get the information they need, without needing a bunch of training, since the UI is super intuitive and easy for beginners. This helps reduce time to resolution during incidents and gives context to developers quickly and easily. Context is really important since seconds matter when the ship is down, and you don't know why.

What is most valuable?

I find the greatest feature is being able to search across logs from various microservices. As a member of the security team, I find that I often need visibility into other teams' services in order to get a good picture of our security posture.

I also am a fan of the ability to easily create monitors and get alerts into Slack quickly, without too much overhead. For example, I often need to create monitors where I am not too sure where the baseline lies. Having the ability to create anomaly monitors makes this process much more straightforward. Anomaly monitors are great for a security team.

What needs improvement?

One area where I was really looking for improvement was the CSPM product line. I had really wanted to have team-level visibility for findings, since the team managing the resources has much more context and ability to resolve the issue, as the service owner. However, this has been added to the announcement in a recent keynote. 

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Datadog
March 2025
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For how long have I used the solution?

Personally, I've used it my entire time employed here, more than three years.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Software Engineer at Lovepop
Real User
It lets us react more quickly to things going wrong, then we can get back up and running faster for our customers
Pros and Cons
  • "It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."
  • "It lets us react more quickly to things going wrong. Whereas before, it might have been 30 minutes to an hour before we noticed something going on, we will know within a minute or two if something is off, which will let us essentially get something back up and running faster for our customers, which is revenue."
  • "I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."

What is our primary use case?

The primary use case is application monitoring. We also use it set custom metrics and watch our AWS metrics, as well as data.

At my current job, I have only use it a couple months. However, I used it for a few years at a previous company.

How has it helped my organization?

It lets us react more quickly to things going wrong. Whereas before, it might have been 30 minutes to an hour before we noticed something going on, we will know within a minute or two if something is off, which will let us essentially get something back up and running faster for our customers, which is revenue.

What is most valuable?

Its most valuable feature is the monitoring, such as all the custom metrics that Datadog imports from AWS. In addition, the specific monitoring where you can set up an alert to a bunch of different services. 

What needs improvement?

Some of their newer solutions are interesting, like their logging, but they are not fleshed out. They could use more metrics or synthetics, which would be really helpful.

I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome.

For how long have I used the solution?

One to three years.

What do I think about the stability of the solution?

It is very stable. Both times that I have worked with Datadog, we haven't had any issues with them going down. Or, if they did, we didn't know, which is good.

At the previous company that I worked at, we threw a lot at them all at once.

Because this is a newer integration, we are putting less stress on the tool. We are still working on integrating it into our platform.

What do I think about the scalability of the solution?

It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to.

We are a 100 person company with 20 engineers.

How is customer service and technical support?

The technical support is great. They respond quickly. They know what they are talking about and dig right in. If they don't know the answer, they can get it to us very quickly.

How was the initial setup?

The integration and configuration through AWS was pretty smooth. It was easy to set up and start using. The documentation was clear. So, it worked really well.

What about the implementation team?

We did the integration and configuration through AWS ourselves.

What was our ROI?

We haven't seen ROI at my current company. The solution is too new. 

At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back.

What's my experience with pricing, setup cost, and licensing?

The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items. So, if they would scale the pricing appropriately as they add more stuff to it, that would makes sense. The pricing should reflect the abilities of the features.

Which other solutions did I evaluate?

We looked into self-hosting something, like Prometheus. We also evaluated New Relic.

We chose Datadog for its ease of use in getting set up and what they offered us.

What other advice do I have?

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.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
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.
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reviewer1996518 - PeerSpot reviewer
ITOPS and SRE Manager at Ticket
User
Good observability, available on the cloud, and capable of scaling
Pros and Cons
  • "The observability on offer is the most useful aspect of the product."
  • "The FinOps needs improvement."

What is our primary use case?

We primarily use the solution for observability.

How has it helped my organization?

The solution has helped with our POV phase.

What is most valuable?

The observability on offer is the most useful aspect of the product.

What needs improvement?

The FinOps needs improvement. 

What do I think about the stability of the solution?

The stability is good.

What do I think about the scalability of the solution?

The scalability is good.

Which solution did I use previously and why did I switch?

We previously used AppDynamics and Dynatrace.

Which other solutions did I evaluate?

We also evaluated AppDynamics and Dynatrace.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
reviewer1480866 - PeerSpot reviewer
Director of DevOps at Digital Media Solutions Group
Real User
Provides good visibility across applications, good integration, and helpful support
Pros and Cons
  • "The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
  • "In the past two years, there have been a couple of outages."

What is our primary use case?

We primarily use this product for availability and performance monitoring, log aggregation.

How has it helped my organization?

Datadog gave us awesome visibility across all of our applications.

What is most valuable?

The most valuable features are logging, the extensive set of integrations, and easy jumpstart.

What needs improvement?

In the past two years, there have been a couple of outages.

For how long have I used the solution?

We have been using Datadog for two years.

What do I think about the stability of the solution?

The outages that we have had in the past two years were fixed in a matter of minutes.

What do I think about the scalability of the solution?

So far we did not have any issues with scaling, and everything is working great.

How are customer service and technical support?

Support is awesome.

Which solution did I use previously and why did I switch?

We did use NewRelic, but the logging feature was not as good as it is in Datadog.

How was the initial setup?

The initial setup is straightforward and everything is very well documented and easy to start using.

What about the implementation team?

We implemented it in-house.

Which other solutions did I evaluate?

We evaluated a custom ELK solution, Sumo Logic, and Logentries.

What other advice do I have?

Datadog is already covering much more than we normally need with exceptional quality. This is a great product.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
reviewer2003781 - PeerSpot reviewer
Product SRE at a computer software company with 51-200 employees
Real User
Good dashboards and documentation with helpful Synthetics Tests
Pros and Cons
  • "Dashboards and their versatility are among the most valuable features."
  • "We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."

What is our primary use case?

We use Datadog for application logs, error tracking, performance tracking, alerting, and overall production state surveillance. 

It helps us improve observability and ease of maintenance through better information for our support teams and their issue qualification. 

We also use dashboards to keep all the information at ready and easy to access. SLOs notably for our uptimes but also our feature usage. It also feeds our alerting for our on-call SREs into PagerDuty by launching alerts when specific parameters are exceeded.

How has it helped my organization?

Our usage of Datadog has allowed us to improve our observability at great lengths. We have been able to track pain points more easily with it, and be able to define custom metrics to track our user's usage of the features we roll out.

Being able to generate dashboards has given higher management a better view of our teams' work and has allowed for better client information by our sales team as they have a more transparent way ofdealing with our upcoming features.

What is most valuable?

Dashboards and their versatility are among the most valuable features. They allow us to have internal facing trackers of our application's issues, usages, and features. They also allow us to have a better understanding of how users react to new features, and to display more information to other teams or also clients through uptime SLOs, et cetera.

We also found the Synthetics Tests and especially the Browser Tests very helpful. It is a nicer way to create end-to-end tests in a more user-friendly way than through code. They are very valuable in saving time compared to code-based testing.

Documentation is also very clear and interesting.

What needs improvement?

We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error.

I look forward to seeing the next features that will be released.

For how long have I used the solution?

I have been using the product for a year and a half. The company has been using it for longer. I don't know the exact details.

What do I think about the stability of the solution?

We have yet to have a large-scale problem with stability using Datadog. It's very satisfying.

What do I think about the scalability of the solution?

The scalability is very good.

How are customer service and support?

I've had only a few experiences with customer support, and it went well. They were fast!

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We did not use a different solution previously.

How was the initial setup?

I wasn't there for the initial setup.

What about the implementation team?

I wasn't there for the initial setup.

What was our ROI?

I cna't speak to the ROI.

What's my experience with pricing, setup cost, and licensing?

I don't give advice regarding that.

Which other solutions did I evaluate?

I wasn't part of the decision-making process.

What other advice do I have?

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.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
reviewer1996521 - PeerSpot reviewer
Engineering Manager at Indeed.com
User
Transparent, easy to use, and integrates well with Slack
Pros and Cons
  • "Datadog's seamless integration with Slack and PagerDuty helped us to receive alerts right to the most common notification methods we use (our mobile devices and Slack)."
  • "I would like better navigability across pages."

What is our primary use case?

I primarily use the solution to learn, watch and monitor business and engineering metrics in the production and QA environments of my team. 

We create monitors on key business metrics and observe regressions and anomalies.

Less often, I leverage the events ability in Datadog to get notified about significant activities happening in my teams' deployments.

We learn about Datadog monitor alerts through Slack and often attempt to create SLOs using Terraform.

We use APM for observability.

Most recently, I learned about WatchDog Alerts that I will be heavily looking into.

How has it helped my organization?

Datadog simplified my ability to watch easily and add monitors on any metric emitted by any team at my organization.

Datadog APM immensely improved our ability to understand the reasons behind production issues. Its ability to navigate across services seamlessly to understand the time spent at each critical stage of a production request is helpful. This, combined with Datadog's historical ability to show business metrics aside, helped get more powerful insights much more quickly.

Datadog's seamless integration with Slack and PagerDuty helped us to receive alerts right to the most common notification methods we use (our mobile devices and Slack).

What is most valuable?

The most valuable aspects include:

  • The ability to monitor any team's metric in my company (transparency)
  • The ability to create/clone dashboards for myself (ease of use)
  • Its integration with Slack (it is very powerful)
  • The ability to add monitors on any metric emitted by any team at my organization
  • (Through Datadog APM) the ability to understand the reasons behind production issues. Its ability to navigate across services seamlessly in order to understand the time spent at each critical stage of a production request is key. This, combined with Datadog's historical ability to show business metrics aside, helped me get more powerful insights much more quickly.
  • (Through integrations like Slack and PagerDuty) the ability to receive alerts right to the most common notification method we use (our mobile devices and Slack), which saves a lot of time and helps us maintain focus. 

What needs improvement?

I would like better navigability across pages. The UI/UX is powerful, yet less intuitive. A lot of times, I somehow navigate across buttons and pages, and I end up forgetting how to get back to a particular view that was more insightful. 

Particularly as Datadog starts offering more platform capabilities like APM, Watchdog, Shift left initiatives like instrumentation, continuous testing, intelligent test runner, and Synthetic and real user monitoring, the UI can become more and more clunky, giving users a very frustrating experience. 

For how long have I used the solution?

I've used the solution for five to six years.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
SeniorSofcae - PeerSpot reviewer
Senior Solutions Architect at a tech services company with 11-50 employees
MSP
It lacks consistency in the APIs. However, It has saved us a lot of trouble in implementation.
Pros and Cons
  • "It provides more cloud data. They tend to just get the way a service would be designed on the cloud."
  • "It has saved us a lot of trouble in implementation."
  • "The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us."
  • "It does not have the best interface."
  • "Stability of the product has been a concern for us outside of the primary monitoring agents."
  • "It lacks consistency in the APIs."

What is our primary use case?

We are using the infrastructure and app monitoring side, such as process monitoring. We are using it in a very traditional way. We are not using the APM capabilities. When it comes to something like containers, we will generally use it on the host but not inside the container itself. 

We are using it with our customers and in-house day-to-day.

How has it helped my organization?

It provides more cloud data. They tend to just get the way a service would be designed on the cloud. Datadog can handle a server disappearing and account for it, but they will kick somebody out. 

The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us. This can't be done with a lot of the other platforms. This has made things considerably easier. Where we used to get "What's my performance?" Here, have access. Go nuts. Tell us if you need it. Now, our customers no longer ask us for all that, as they want to go do it themselves. This has made our lives infinitely easier.

What needs improvement?

The only thing that they were missing that has throw us from the beginning (they are still missing it) is consistency in the APIs. There are a couple of guys on the automation side who complain rightfully over how hard it is because every new feature which comes out has a new way of interfacing with the API. This was our big, red flag in the beginning, but given the price and other features, it wasn't enough for us to discount. We said "That we would live with this one red flag", but it is still a red flag.

Stability of the product has been a concern for us outside of the primary monitoring agents.

It does not have the best interface.

For how long have I used the solution?

Three to five years.

What do I think about the stability of the solution?

We haven't noticed any issues in the primary use case for which we are using it. 

The reason we're not using or looking at the APM space right now is due to platform availability. Datadog doesn't support enough platforms, which they know. Every customer that we have is running PHP, and we cannot use APM with any of our customers because of that. Even if they are 95 percent running Java, if Datadog doesn't have PHP, we can't use it because it won't integrate.

What do I think about the scalability of the solution?

Scalability has not been a concern at all. We have had customers with steady state loads: low and high. Our smallest customer is a friends and family startup which has about three instances. We have steady state loads which are more than 500. Then, we have customers with two instances all summer, but do seasonal work in the winter and can scale to more than 1000 instances. 

We have never noticed a hiccup on Datadog with any of our scaling. It has always grown to meet our program.

How are customer service and technical support?

We have used technical support for certain integrations. We use a lot of Ansible and Chef, and we have had a lot of problems with both of these automating components. Technical support was helpful within their limitations.

Which solution did I use previously and why did I switch?

We switched when we started getting heavy into the cloud. We used to use ScienceLogic, New Relic, AppDynamics, Zabbix, etc. It was hodgepodge. 

We were very strong in the APM space. We had all of our APMs going through AppDynamics, which suited a lot of our customer use cases in the cloud. However, when our customers started to get more specific, they wanted traditional core monitoring and the other on-premise traditional vendors, like ScienceLogic, weren't cutting it. That is when we started to look at Datadog. We went back and forth for a while between Zabbix and Datadog. In the end, Datadog won out based on feature price and everything together.

How was the initial setup?

The integration with the AWS environment has been pretty seamless. There have been a few services that we don't use that they don't have book support for. However, usually that happens when it is a new service which is really unpopular. Most of the time, our customers shouldn't have been using that service to begin with, since it's a legacy thing that we inherited. I can't think of a single case where we haven't told the customer "You have to get off of that." 

What was our ROI?

It has saved us a lot of trouble in implementation.

What's my experience with pricing, setup cost, and licensing?

The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship. It is still pretty good.

What other advice do I have?

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: 

  1. Some of our customers purchase it for AWS. 
  2. Some of them were accounts that we set up directly on Datadog for our customers. 
  3. 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.

Disclosure: My company has a business relationship with this vendor other than being a customer: Reseller.
PeerSpot user
PeerSpot user
Project senior at Moka Cloud factory
Real User
Top 10
An expensive solution with easy deployment
Pros and Cons
  • "The tool's deployment is easy."
  • "Datadog is expensive."

What needs improvement?

Datadog is expensive. 

How was the initial setup?

The tool's deployment is easy. 

What's my experience with pricing, setup cost, and licensing?

The solution's pricing depends on project volume. 

What other advice do I have?

I rate Datadog a seven out of ten. 

Disclosure: My company has a business relationship with this vendor other than being a customer: partner
PeerSpot user
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Updated: March 2025
Buyer's Guide
Download our free Datadog Report and get advice and tips from experienced pros sharing their opinions.