DataDog has been game changing for our organization!
What do you like best about the product?
The APM and RUM are the two main products our team uses, and has 10x our observability setup.
We really love the seamless view of requests through our systems.
The service map is also super useful for onboarding actually.
What do you dislike about the product?
We're still fairly new to Datadog, so don't have much to pull from, but I would say sometimes the UI/UX gets a bit confusing the deeper you get into panels and views.
What problems is the product solving and how is that benefiting you?
Datadog has replaced our organization's reliance on many different tools in a single package.
We used to use Sentry, self-hosted ELK stack, Grafana, Jaeger, OpsGenie, etc.
The best part is that Datadog does all the different things these other tools did, but better.
The automatic instrumentation has been my favorite part.
Datadog - Observability Giant
What do you like best about the product?
The way it help provide the observability of the apps from infrasctructure , APM , Browser and with logs metrics and traces.
What do you dislike about the product?
The Way we write the Datadog query language. Ui can be a bit better
What problems is the product solving and how is that benefiting you?
1. APM Application observability
2. understanding logs and metrics and traces for the applications
3. Understanding the infrastrcuture cluster
Seamless UI analytics and session replay
What do you like best about the product?
The UI integration with APM, session replay and UI analytics like LCP are very convenient. I enjoy the easy way of following user sessions on different environments and filter by devices. Dashboard creation is very intuitive. Implementing on a real project is very straight forward.
What do you dislike about the product?
Sometimes its a bit tricky to match the UI logs with the BE information, mostly configuring and finding tracing has been a little challenging.
What problems is the product solving and how is that benefiting you?
Datadog is super useful for incident analysis and log checking. This allows applications to have a quick response to any problem that might appear on dev or production. I would say that analysis and optimization is an area that helps a lot.
Amazing
What do you like best about the product?
I built pipelines to monitor data and keep data secure
What do you dislike about the product?
I haven’t found anything I dislike yet as of now
What problems is the product solving and how is that benefiting you?
Keeping user and data secure
My datadogs experience
What do you like best about the product?
Ease of setup and comprehensive monitoring and security
What do you dislike about the product?
Cost and pricing complexity. There could be unexpected cost when not monitored correctly.
What problems is the product solving and how is that benefiting you?
The dog is good being able to see and monitor everything in one place. The dashboard is pretty easy to navigate and it’s easy for me to see what I need.
Datadog for Observability
What do you like best about the product?
Datadog offers comprehensive dashboards and anomaly detection alerts, so that our team can know when something goes down or escalates into an incident. It’s super powerful
What do you dislike about the product?
Sometimes it takes a while to instrument to get started. Pricing can be confusing
What problems is the product solving and how is that benefiting you?
Keeping us alerted of any infra issues
Best for application and infra monitoring
What do you like best about the product?
Data dog is best for infra and app monitoring and best part is easy to configure
What do you dislike about the product?
Quit expensive if you have large environment
What problems is the product solving and how is that benefiting you?
It help to continues monitoring and alerting
Alerting and metrics improve monitoring efficiency while pricing presents challenges
What is our primary use case?
The primary purposes for which Datadog is used include infrastructure monitoring and application monitoring.
The main use case for Datadog integration capabilities is to monitor workloads in public cloud, and those public cloud integrations that reached the public cloud metric natively were helpful or critical for us. We are not using Datadog for AI-driven data analysis tasks, but more cloud-native and vendor-native tools at the moment, and at the time when I was still in my last employer, we didn't use Datadog for the AI piece at all.
What is most valuable?
I find alerting and metrics to be the most effective features of Datadog for system monitoring. It was still cheaper to run Datadog than other alternatives, so the running costs were cheaper because it was SaaS and quite easy to use.
Datadog is only available in SaaS.
What needs improvement?
The pricing nowadays is quite complex.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
For how long have I used the solution?
I have been using Datadog since 2014.
What was my experience with deployment of the solution?
There were no problems with the deployment of Datadog.
The deployment of Datadog just took a few hours.
What do I think about the stability of the solution?
The challenges I encountered while using Datadog were in the early days when the product was missing the ability to monitor Kubernetes and similar features, but they have since added those features. At the moment, I don't think there are too many challenges that I am worrying about.
How was the initial setup?
One person is enough to do the installation.
What other advice do I have?
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.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Datadog the best of all
What do you like best about the product?
Its unified in visibility across the whole tech stack
Its seamless in log management.
Has customized dashboards for better support.
What do you dislike about the product?
very expensive to use.
its cluttered when dealing with bulky data.
What problems is the product solving and how is that benefiting you?
Datadog allows servers, databases, and many other tools and services to be monitored across the IT landscape in real time. It will enable one to see the performance of applications and identify problems from a business perspective before they reach the user.
Great experience
What do you like best about the product?
I like how Datadog brings everything—logs, metrics, and traces—into one place. It makes spotting and fixing issues really simple.
What do you dislike about the product?
It can be a bit complex to set up and tune initially.
What problems is the product solving and how is that benefiting you?
Datadog helps solve the problem of not having full visibility into how applications are performing across services and infrastructure.
For APM, it shows real-time traces, bottlenecks, and error rates, which helps quickly identify and fix performance issues—saving time and improving user experience.
