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reviewer2004210 - PeerSpot reviewer
Cloud Specialyst at a financial services firm with 501-1,000 employees
Real User
Centralized with good observability and many modules
Pros and Cons
  • "The most valuable aspect is for us to have everything in one place."
  • "We need a lot of modules since we collect all data logs from all operating systems."

What is our primary use case?

We collect all data logs from all operating systems, such as Windows, Linux, VMware, and bare metal data centers. We also automatize the installation of the agent on servers. 

Now we are starting a POC to analyze the APM module. In the feature, the next step is to do a POC of security modules. 

The final idea is to have a unique portal for observability. This will make it easy to troubleshoot and for layer levels 1 and 2. 

How has it helped my organization?

We are looking into a lot of modules. We collect all data logs from all operating systems, including Windows, Linux, VMware, and bare metal data centers. We also automatize the installation of the agent on servers. 

We're developing POCs for APM and security modules. We'll also have a unique portal for observability. This will make it easy to troubleshoot. 

The most valuable aspect is for us to have everything in one place.

What is most valuable?

We're investigating many modules. We collect all data logs from all operating systems (Windows, Linux, VMware, and bare metal data centers). We also automatize the installation of the agent on servers. 

We're doing POCs in APM and security. 

Soon, we'll have a unique portal for observability. This will make troubleshooting easy at levels 1 and 2. 

The most valuable aspect for us is to have everything in the same place.

What needs improvement?

We need a lot of modules since we collect all data logs from all operating systems. 

The most important module for us is log management. The second is the security module. The third one is the APM.

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

We've used the solution for one year.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Plinio Moreira - PeerSpot reviewer
Sales Engineer at Delfia
Real User
Great Logging, APM, and RUM capabilities
Pros and Cons
  • "The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution."
  • "We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."

What is our primary use case?

I'm a Datadog partner in Brazil, and I monitor all my applications with Datadog too. I would like to enable all features in my DPN portal and get access to custom demos. We resell Datadog and a full stack of pre-sales, sales, and post-sales services. We have customers for all sectors, including governmental, financial services, services in general, telecom, et cetera. Today, we are the biggest Datadog partner in Brazil, and we are searching for an expansion in our MSP environment.

How has it helped my organization?

I resell all solutions in Datadog, so all features are important for our customers.
We are the biggest Datadog partner in Brazil, and we would like to expand our MSP environment.

What is most valuable?

The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution. I resell all solutions in Datadog, so all features are important.

I'm a Datadog partner in Brazil, and I monitor all my applications with Datadog too. 

The solution works within all sectors, including, governmental, financial services, services in general, and telecom. 

What needs improvement?

We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved. In general, cloud users and microservices users like Kubernetes offer a faster improvement in the environment. Our users of the feature logs had a lot of benefits and found cost reductions also.

For how long have I used the solution?

I've used the solution for three years. 

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

We used to use AppDynamics. We switched due to the fact that the cloud monitoring and K8 monitoring are not as good as Datadog.

What about the implementation team?

I'm a reseller.

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

The licensing model is better, however, if they had the option to block consumption in the Infra and APM, that would help to keep better control of costs.

Which other solutions did I evaluate?

We did not evaluate other solutions.

What other advice do I have?

We use the solution as a SaaS.

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
Buyer's Guide
Datadog
April 2025
Learn what your peers think about Datadog. Get advice and tips from experienced pros sharing their opinions. Updated: April 2025.
848,716 professionals have used our research since 2012.
reviewer2000451 - PeerSpot reviewer
SRE at a financial services firm with 10,001+ employees
Real User
Great visibility, easy to implement, and offers the ability to set thresholds
Pros and Cons
  • "It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
  • "Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."

What is our primary use case?

We primarily use the solution for observability, metrics, logs, tracing, and end-to-end user flow monitoring. 

We are looking to implement this as a company-wide standard for cloud solutions.

At this time, we're currently in a POC, and we're interested in using either a Datadog agent or the OTel agent with a Datadog exporter. We have dashboards with panels that correlate metrics and allow you to link through to traces. Flame graphs to show latency across services and the various spans. 

While we are not security minded, we still require it and are interested in more. It's used for monitoring critical systems.

How has it helped my organization?

It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it. This provided a standard way to approach observability and visibility. 

Monitoring rules and alerting thresholds can also be set and exported to other teams for use. 

There is an issue with federated dashboards, as multiple teams running on different Datadog instances cannot use features like the service catalog or easily switch between services in a long business flow.

What is most valuable?

The K8 monitoring is extremely useful in Datadog. Preset dashboards that it provides help to speed up the work. 

The metrics summary is useful. Tracing with a span breakdown is helpful for us. We like the dashboarding with power packs and logging correlation with traces and logs. 

The Flame graph for tracing helps determine where the latency is the highest. 

Dashboards are created as a standard set and then exported into other Datadog instances for other teams. 

These dashboards would be updated regularly and pushed out to the teams. Unfortunately, there is no way to automatically push or deploy code in a quicker way. Each team I work with has its own Datadog instance.

What needs improvement?

Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog. Additionally, using an OTel agent would be more acceptable and allow for easier adoption of Datadog across the hundreds of teams here.

For how long have I used the solution?

I've used the solution for four months.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Technology Competency and Solution Head at LearningMate
Real User
Good infrastructure and traffic visualizations help with capacity planning
Pros and Cons
    • "The error traceability is an area that can be improved."

    What is our primary use case?

    We use Datadog for application monitoring, to help identify errors. It is also used to monitor application performance.

    It helps organizations to understand User Experience with user behaviour pattern

    How has it helped my organization?

    Helped to reduce production issues in a defined timeframe

    Helped to refine UX

    What is most valuable?

    Datadog has a very good visualization for my complete infrastructure and network traffic, which enabled me to create a capacity plan.

    This product is great because it shows you the SQL and your application request in a single view.

    What needs improvement?

    The error traceability is an area that can be improved. This is something that helps us to pinpoint the area where a problem is occurring. It is a function stack, and it should be showing us how each function is defined.

    For how long have I used the solution?

    We have been using Datadog for the past couple of Years.

    What do I think about the stability of the solution?

    I have not worked on it long enough to properly comment on stability, yet, because it has to be tested across my other platforms.

    What do I think about the scalability of the solution?

    We have not done a full evaluation yet, but given that it is cloud-based, DataDog has to be scalable.

    How are customer service and support?

    I have not needed to contact technical support.

    How would you rate customer service and support?

    Positive

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

    We were using New Relic prior to implementing Datadog. In terms of application monitoring, Datadog is not up to the level that New Relic is. It is a better product but the price is too high, which is why we switched.

    How was the initial setup?

    Yes. It is not complex. It allows you to get a certification of DataDog prior deployment of associates to administration and configuration

    What about the implementation team?

    Inhouse. We got our Admin team certified.

    What was our ROI?

    Time to resolution production issue

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

    The price is better than some competing products.

    Which other solutions did I evaluate?

    NewRelic

    What other advice do I have?

    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.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Disclosure: I am a real user, and this review is based on my own experience and opinions.
    PeerSpot user
    reviewer2003355 - PeerSpot reviewer
    DevOps Engineer at a printing company with 51-200 employees
    Real User
    Great visibility, good logs, and a helpful dashboard
    Pros and Cons
    • "For us to have visibility into our app stack and the hardware we run has been highly beneficial."
    • "I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."

    What is our primary use case?

    Log aggregation for us was a key component since we have a fairly old-school app running on VMs on bare metal. We previously didn't have much insight into our logs unless we manually tunneled them into each server.

    The solution is reducing manual labor in troubleshooting problems in our environments server by server.

    We also needed to monitor our Java app and MySQL database to understand their problems so that we could take action and resolve them.

    Our use cases have since expanded to encompass all aspects of monitoring.

    How has it helped my organization?

    Before Datadog, all we had to go on was the gut reaction of the old guard on our team. While useful, the reactions and inherent knowledge only benefited a few folks.

    Datadog has allowed us to create comprehensive dashboards and proactively send out alerts. We used the knowledge of people very versed with our products to help set up the platform and have since benefited from that.

    The operative word here is visibility, and we've seen a huge improvement in that.

    What is most valuable?

    Seeing log trends and patterns and aggregate search was a huge first step for us. We then began using other features of the Datadog platform by enabling APM. After that, we did other integrations.

    For us to have visibility into our app stack and the hardware we run has been highly beneficial.

    We leverage APM, log management, and at least ten other integrations. Our DB, web servers, network, storage, and other areas are now monitored and hooked up to dashboards.

    Dashboarding has also proven useful when information is going to be viewed by anyone in the organization.

    What needs improvement?

    Our experience has been overwhelmingly positive so far. That said, there is one area that could benefit from some polish. For example, I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus.

    For how long have I used the solution?

    I've used the solution for around six or eight months. We've had the Datadog agents deployed on our various environments.

    What do I think about the stability of the solution?

    So far, we have not had any issues with stability. It should be very stable and easy to update.

    What do I think about the scalability of the solution?

    The solution is currently deployed on a limited scale. That said, we see the potential and benefits of deploying this in a cloud scenario.

    How are customer service and support?

    Customer service and the support teams have been very responsive when we need them. They are very professional.

    How would you rate customer service and support?

    Positive

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

    This was our first solution in this space.

    How was the initial setup?

    The initial setup steps with the agent are only confusing when using the config files for the first time. The main file includes a lot that you can specify elsewhere and it's not readily apparent which one to use until you dig in more.

    What about the implementation team?

    We did an in-house implementation.

    What was our ROI?

    Our ROI with Datadog has been very high. It's given us the ability to see how we're performing, which we didn't have before.

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

    Ensure you have your ingestion pipelines dialed in, or you'll likely spend more than you were expecting.

    Which other solutions did I evaluate?

    We evaluated free and open-source options, however, ultimately, we decided that we didn't have the manpower as a small company to maintain them.

    What other advice do I have?

    There is nothing that the documentation cannot help with; it's very good.

    Which deployment model are you using for this solution?

    Private Cloud
    Disclosure: I am a real user, and this review is based on my own experience and opinions.
    PeerSpot user
    reviewer2000487 - PeerSpot reviewer
    Test Engineer at a tech services company with 1,001-5,000 employees
    Real User
    Great for monitoring, helps with internal communication and offers improved visibility
    Pros and Cons
    • "We've been able to glean from the monitors what servers are down, and can alert the team in Slack."
    • "The more tools that they can build that allow you to run AWX playbooks, or other similar fixes, would benefit clients greatly."

    What is our primary use case?

    We're moving towards the cloud yet still have several active data center contracts. As we move to the cloud, we are interested in knowing more about our services, and DataDog APM/logs should give us this perspective. 

    We currently use the infrastructure monitoring part of DataDog. Still, I've really seen the advantage of moving more data into the cloud for comparison and being able to have one place where we can view all related pieces of information regarding a possible incident or potential issue.

    How has it helped my organization?

    We've been able to glean from the monitors what servers are down, and can alert the team in Slack. Knowing what we need to do next is what we would like to move to, so seeing the power of Notebooks is key. We also have several other services that we are underutilizing (logging, error tracking, etc.) that would be better housed in DataDog since it gives us more visibility into linking all of the things together into one cohesive picture.

    What is most valuable?

    Monitoring has been invaluable, and as we start to look to other products, bringing in logs and APM traces will create a full picture of what we need to do to resolve incidents. We're also interested in our users' perspectives and when things are slowing down for them.

    Additionally, we are interested in the workflows announced today as an actionable decision tree that will allow our teams to see what is wrong and know what to do based on the connected runbook/notebook. I feel that this is the final piece that will make DataDog so much more valuable than its competition.

    What needs improvement?

    I have talked to vendors that mention that DataDog is drawing attention to an issue. However, you'll still need to take action on your own. The more tools that they can build that allow you to run AWX playbooks, or other similar fixes, would benefit clients greatly.

    For how long have I used the solution?

    We've used the solution for two years.

    Which deployment model are you using for this solution?

    Hybrid Cloud
    Disclosure: My company has a business relationship with this vendor other than being a customer: partner
    PeerSpot user
    reviewer1996524 - PeerSpot reviewer
    Director Of Software Development at Major League Baseball
    Real User
    Good for monitoring and telemetry with helpful tracing capabilities
    Pros and Cons
    • "APM and tracing are super useful."
    • "We would like to see smaller or shorter tutorials and video sessions."

    What is our primary use case?

    We primarily use the solution for monitoring and telemetry.

    We use lots of log collections, log-based metrics, and dashboard visualization.  The logging, metrics, and APM are vital.  

    How has it helped my organization?

    My team focuses on the backend. Day-to-day monitoring includes observing metrics such as the CPU and memory until it gets too high. This solution provides an alert during the metric collection.  

    What is most valuable?

    APM and tracing are super useful. We use it for daily monitoring of CPU and memory. We can get alerts to tail to specific metrics.

    We also find the tracing feature useful. We often run into bugs, and when a production issue happens, it is super useful to see the related services and sense where the problem is.

    What needs improvement?

    We would like to see smaller or shorter tutorials and video sessions. Also, the ability to provide a custom formula for monitoring is vital. Perhaps there can be more training materials on this. We often need to detect slow-running queries and slow network responses. We also focus a lot on the abuse of request limits. Having some form of rate limit features or metrics would be useful.  

    Profiling could also be useful. Some services are CPU-intensive, and others are IO-intensive. Knowing where the bottleneck is, is crucial. 

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Google
    Disclosure: I am a real user, and this review is based on my own experience and opinions.
    PeerSpot user
    reviewer1915611 - PeerSpot reviewer
    Principal Solutions Architect at a security firm with 51-200 employees
    Real User
    Provides great visibility, has good replay functionality, and helps with monitoring
    Pros and Cons
    • "The dashboards and the performance of the software have been great."
    • "It could probably be a little bit of a better user experience."

    What is our primary use case?

    One of the things we use it for is the same thing that we use FullStory for, which is to replay customer interactions with our platform. However, it also does the monitoring. It's like monitoring cloud tools. We're really mostly monitoring our own software to make sure that everything is functioning properly. We can check a bunch of things, and we can even play back customer sessions. It’s basically monitoring our application.

    How has it helped my organization?

    It really provides a lot of visibility in terms of how our software is working. If there are any problems, it surfaces them right away. We get alerts in Slack. It's really an essential tool for a company that provides software as a service.

    What is most valuable?

    I really like the replay, the ability to replay sessions, as I'm in sales engineering, so I sometimes need to know what my prospects are doing during a proof of value. I can actually see all the mouse moving and clicking on buttons and stuff like that. I can actually tell what they've been doing. There’s a lot of the other monitoring stuff as well. The development team uses it for monitoring and finds it very helpful.

    It’s been kind of in the middle of many different things. The dashboards and the performance of the software have been great.

    What needs improvement?

    I haven't really noticed anything that they could improve upon. Maybe they could add in some features to go both ways, to maybe make some configuration changes, etc. That's a little bit outside of what Datadog does, though. It's really very full-featured, so I don't really have any complaints.

    I haven't really fully looked at the documentation as I know where I need to go and look at things. It could probably be a little bit of a better user experience. There are so many functions there that sometimes navigating your way around is a little bit hard. They have a really nice menu system. However, there's so much there. It's possible that I skipped a guided tour when I started.

    It’s not intuitive to everyone. There are a lot of technical features.

    For how long have I used the solution?

    I’ve been using the solution for the last five months. However, the company may have used it for a year and a half.

    What do I think about the stability of the solution?

    The solution has been stable and reliable.

    What do I think about the scalability of the solution?

    We haven’t had a problem with scalability. It’s been good.

    We have 25 to 30 users on it currently. Our entire organization is under 60 people. Although not everyone is on it, a lot of our staff are. The sales, engineering, and customer success teams are all on it.

    We may increase usage. No doubt that will come naturally with time. We’re hiring more people, and likely new hires will use it.

    How are customer service and support?

    I have not had occasion yet to reach out to support.

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

    We’ve also been using FullStory.

    How was the initial setup?

    I wasn’t part of the implementation. The one thing I will say is that when they added the functionality to review sessions, it made our use of another product, FullStory, almost obsolete. I'll have to see if we will continue using FullStory or if we can rely completely on Datadog.

    What other advice do I have?

    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.

    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
    Buyer's Guide
    Download our free Datadog Report and get advice and tips from experienced pros sharing their opinions.
    Updated: April 2025
    Buyer's Guide
    Download our free Datadog Report and get advice and tips from experienced pros sharing their opinions.