Cross-functional teams have gained clearer insight into funding delays through simplified data dashboards
What is our primary use case?
My main use case for Datadog is to analyze data in regards to instant funding.
A specific example of how I use Datadog for instant funding data is understanding how long it takes for an application to be processed, approved, and then instantly funded, how many applications there are, and if there's any holdups on the applications as well.
We are identifying the reason behind a hold-up for instant funding and possibly why some applications do not get instantly funded. Datadog helps us identify those weak areas.
How has it helped my organization?
Datadog has significantly improved our organization’s visibility into system performance and application health. The real-time dashboards and alerting capabilities have helped our teams detect issues faster, reduce downtime, and improve response times. It’s also made collaboration between engineering and operations smoother by providing a shared view of metrics and logs in one place.
What is most valuable?
In my experience, the best features Datadog offers include the layout of the reporting, which is user-friendly, and for those who are not familiar with data, this helps the visual impact.
The layout and reporting are user-friendly because there is a dashboard that I use the most.
Datadog has positively impacted my organization by allowing cross-functional teams who do not necessarily work directly with data to understand, simplify, and take in the data points.
Those cross-functional teams are using the data now by reviewing these reports and they are able to identify weak spots as well to improve cross-functionally the application process.
What needs improvement?
Areas for improvement:
Datadog could improve in dashboard usability and data correlation across products. While it’s powerful, the interface can feel cluttered and overwhelming for new users. Streamlining navigation and offering simpler default dashboards would help teams ramp up faster.
Additional features for next release:
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance. Improved cost management insights or forecasting tools would also help teams monitor usage and control expenses more effectively.
For how long have I used the solution?
I have been using Datadog for roughly six months.
What do I think about the stability of the solution?
What do I think about the scalability of the solution?
Regarding Datadog's scalability, we have not scaled yet, but we are in the process of continuously scaling up, so we will find out in the near future.
How are customer service and support?
The customer support of Datadog is amazing.
I would rate the customer support a definite 10, as friendliness is top tier.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I previously used a different solution, and we switched due to inconsistencies. The previous solution was also inaccurate and unreliable.
What was our ROI?
I have seen a return on investment in terms of time saved. I don't have metrics on hand for that answer, but there has been time saved due to the Datadog output.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing has been that all were fair.
Which other solutions did I evaluate?
Before choosing Datadog, I evaluated other options, but I don't want to identify other ones.
What other advice do I have?
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.
Has improved response times and streamlined daily threat monitoring across teams
What is our primary use case?
My main use case for Datadog is the security aspect of it, utilizing the SIEM and the cloud security features. I use it every day monitoring different types of logs and reports that come through, managing most of the alerts that populate from our different applications and software, and it's been a good ride.
How has it helped my organization?
Datadog has impacted my organization positively because it tracks all the logs and helps us utilize our features through security. We use Datadog in basically all of our other teams, including engineering, code, APIs, and many other features available, and my peers always say something good about it.
Datadog has helped my organization improve a lot of response time because we get alerts the minute it happens, which is our only means to reduce incident response time. I also appreciate how it provides remediation efforts, allowing us to implement different playbooks while constantly updating with new threats and vulnerabilities, keeping us safe.
What is most valuable?
One of the best features I appreciate is the Cloud SIEM, and I've used many SIEMs in my experience, but until I got to this company, I never had the chance to really see how Datadog works. With this organization, they were able to show me how easy it was, and Datadog has a really good UI that's easily navigable, helping us teach new team members quickly.
My experience with the Cloud SIEM specifically is that it works 24/7 and stands out due to the easy UI it provides, which helps onboard new members who enjoy it. They are able to pick it up quickly without any prior knowledge.
Datadog helped us out with cloud security features and alerts during situations where we get numerous account lockouts or accounts being jeopardized. Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
What needs improvement?
Something I would appreciate seeing from Datadog is more events focused on the networking aspect, which allows me to see what others are using. I enjoy showing up to those events and exploring new features they are releasing as well.
I think Datadog has been performing excellently with no areas that need improvement, as they've been doing great and I want them to keep striving to do better.
For how long have I used the solution?
I'm fairly new with Datadog, having used it for the past year and a half, almost two years now, and it's been going really well.
What do I think about the stability of the solution?
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time. I would appreciate seeing it as an app or mobile app for quicker issue tracking.
What do I think about the scalability of the solution?
Datadog has definitely kept up with our growth.
How are customer service and support?
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I was not here during the time they onboarded Datadog or looked for different solutions, so I'm not aware of which solution we used before.
What was our ROI?
I cannot share any metrics regarding return on investment.
What's my experience with pricing, setup cost, and licensing?
Pricing is fairly affordable, and the setup cost has been good, while licensing has been well maintained, making it pretty great.
Which other solutions did I evaluate?
I'm certain they did their research and looked around at many different options, but I cannot speak on their behalf regarding which they chose or had competition with.
What other advice do I have?
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.
Has created intuitive dashboards and streamlined monitoring across teams
What is our primary use case?
Our main use case for Datadog is collecting metrics, specifically things such as latency metrics and error metrics for our services at Procore.
To give a specific example of how I use Datadog for those metrics in my daily work, I had to create a new service to solve a particular problem, which was an API. I used Datadog to get metrics around successful requests, failure requests, and 400 requests. I then created dashboards that showed those metrics along with some latency metrics from the API, and I also built a monitor that triggers and sends an alert whenever we're over a certain number of the failure metrics.
How has it helped my organization?
The single biggest improvement has been breaking down the silos between our teams. Before we adopted it, our developers, operations, and SRE teams all lived in separate tools. Ops had their infrastructure graphs, Devs had their log files, and no one had a complete picture.
Here’s where we’ve seen the most significant impact:
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We Find and Fix Problems Drastically Faster: The "single pane of glass" is a real thing for us. When an alert fires, our on-call engineer can see the infrastructure metric spike (like CPU), pivot directly to the application traces (APM) running on that host, and see the exact, correlated logs from the services causing the problem—all in one place. We've cut our Mean Time to Resolution (MTTR) significantly because we're no longer "swivel-chairing" between three different tools trying to manually line up timestamps.
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We Are More Proactive and Less Reactive: Features like Watchdog (its anomaly detection) have been crucial. We've been alerted to a slow-building memory leak and an abnormal spike in error rates on a specific API endpoint before they breached our static thresholds and caused a user-facing outage. It's helped us move from a "firefighting" culture to one where we can catch problems before they escalate.
What is most valuable?
The best features of Datadog include a great dashboard, a super simple and easy to use Python library, and an easy monitor, which together provide a really great UI experience.
What makes the dashboard and Python library stand out for me is that they save a lot of time, getting right to the point and being super intuitive.
Datadog has positively impacted my organization by allowing us to have a link to a dashboard for most services.
We have dashboards across the company, which can easily be passed around, making it super easy for everyone to understand the metrics they are looking at.
What needs improvement?
Oh, that's a great question. We actually have a running list of things we'd love to see. Even though we get a ton of value from it, no tool is perfect. Our feedback generally falls into two categories: making the current experience less painful and adding new capabilities we think are the logical next step.
Honestly, our biggest frustrations aren't about a lack of features, but about the management of the platform itself.
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Cost Predictability and Governance: This is, without a doubt, our number one issue. It's not just that Datadog is expensive—it's that the cost is incredibly complex and hard to predict. Our bill can fluctuate wildly based on custom metrics, log ingestion, and traces from a new service. We've had to dedicate engineering time just to managing our Datadog costs, creating exclusion filters, and sampling aggressively, which feels like we're being punished for using the product more.
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How to improve it: We need a "cost calculator" inside the platform. Before I enable monitoring on a new cluster or turn on a new integration, I want Datadog to give me a concrete estimate of what it will cost. We also need better built-in tools for attributing costs back to specific teams or services before the bill arrives.
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The Steep Learning Curve and UI Density: The UI is incredibly powerful, but it's dense. For a senior SRE who lives in the tool all day, it's fine. For a new engineer or a developer who only jumps in during an incident, it's overwhelming. We've seen people "click in circles" trying to find a simple stack trace that's buried three layers deep. Building a "perfect" dashboard is still too much of an art form.
For how long have I used the solution?
I have been using Datadog for about five years.
What do I think about the stability of the solution?
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
How was the initial setup?
I did not deal with any of the pricing, setup cost, or licensing.
What about the implementation team?
I do not know if we purchased Datadog through the AWS Marketplace.
What other advice do I have?
My advice to others looking into using Datadog is to just try using it and see how easy it is to use. I found this interview great. On a scale of 1-10, I rate Datadog a 10.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Great Integration and Dashboards, but Pricing Is Unpredictable
What do you like best about the product?
Easy integration, power dashboards and visualization, smart alerts
What do you dislike about the product?
expensive and hard to predict cost, data retenntion and export limitation
What problems is the product solving and how is that benefiting you?
1. Lack of Unified Observability
In modern environments, teams use dozens of tools—logs, metrics, traces, synthetic monitoring, network monitors, security scanners, etc.
Datadog consolidates metrics, logs, traces, security, and real-user monitoring in one place. This helps DevOps, SRE, security, and business teams collaborate with a single source of truth.
2. Troubleshooting is Hard and Slow
Distributed systems mean a single user action might trigger dozens of services.
Datadog provides distributed tracing, log correlation, and visualizations that allow you to trace requests end-to-end and pinpoint slow or broken parts of the system fast.
3. Cloud Complexity
Cloud environments (AWS, Azure, GCP) change constantly—instances spin up/down, containers come and go, etc.
Datadog offers real-time monitoring and auto-discovery to keep up with these ephemeral environments.
4. Siloed Teams & Tools
Dev, Ops, Security, and Business teams often use different tools and speak different "languages".
Datadog’s platform allows shared dashboards, alerts, and insights, helping teams align on problems and priorities.
5. Proactive Monitoring Instead of Reactive Firefighting
Teams often only react after customers are impacted.
Datadog with best observability tool
What do you like best about the product?
The user interface is very user-friendly, and the dashboard offers greater flexibility compared to other tools I have used. Implementation is straightforward and uncomplicated.
What do you dislike about the product?
So far, based on my past experience, I have not encountered any drawbacks.
What problems is the product solving and how is that benefiting you?
Datadog is very helpful for root cause analysis, and I find the dashboards particularly useful. They allow us to proactively monitor our servers and applications, making it easier to identify and address issues as they arise.
Datadog : All in one observability
What do you like best about the product?
The user interface is excellent, and I appreciate the simplicity of the user experience. It offers full stack observability, allowing me to monitor both the technology stack and the application environment effectively. They have knowledge tech support and supports many third party integration.
What do you dislike about the product?
Everything is up to date, and there is nothing more to add. The documentation is thorough, and there are clear paths available to troubleshoot any queries.
What problems is the product solving and how is that benefiting you?
Datadog can help you identify and resolve application bugs. Sometimes, application teams are unsure about the exact location of a bug, which line is causing the application to fail, or where the failure rate is originating. They may also struggle to determine which endpoint is making the application slow. With Datadog, you can monitor all of these aspects in a single observability platform.
Reliable monitoring tool with powerful dashboards
What do you like best about the product?
Datadog provides an excellent all-in-one monitoring solution that gives complete visibility into infrastructure, applications, and logs. The customizable dashboards make it easy to track performance metrics in real time, and the alerting system ensures quick detection of issues. Its wide range of integrations with cloud services, databases, and tools makes it very flexible. The user interface is intuitive and easy to navigate even for new users.
What do you dislike about the product?
While Datadog is very powerful, the pricing can become expensive for small or growing teams as costs increase with the number of metrics and hosts. The initial setup of dashboards and integrations can also feel overwhelming due to the wide range of features available. Additionally, some advanced queries require a learning curve.
What problems is the product solving and how is that benefiting you?
Datadog helps us monitor applications, servers, and cloud infrastructure in real time, which allows us to quickly detect and resolve performance issues before they impact end users. It centralizes logs, metrics, and traces in one platform, making troubleshooting much faster. The alerting system has reduced downtime and improved overall system reliability, while the dashboards give clear insights for both technical and business teams.
Positive
What do you like best about the product?
I love how intuitive the interface is to use
What do you dislike about the product?
Many companies can create similar tools internally
What problems is the product solving and how is that benefiting you?
It is useful for evaluating kuberenete usage and llm evals
Monitoring and Incident Management
What do you like best about the product?
Great monitoring and visibility - nice to get alerted and replace PagerDuty
What do you dislike about the product?
Took a little while to get up to speed , but once setup it's great
What problems is the product solving and how is that benefiting you?
Monitoring, alerting and our oncall services
Datadog product overview at Apple
What do you like best about the product?
Learning to use DataDog. I found the Dashboard a bit overwhelming at the beginning, but over time, it has become more natural.
What do you dislike about the product?
There a tons of options in the dashboard, is easy to get lost.
What problems is the product solving and how is that benefiting you?
We are going to be doing more DevOps as developers, so having a observability and security turnkey solution will be very helpful to us.
