Datadog Enterprise
DatadogExternal reviews
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Very Easy to Use and Incredibly Useful for My Job
What do you like best about the product?
It’s very easy to use and has been really useful for my job.
What do you dislike about the product?
Honestly, there’s nothing I really dislike about it. It’s a very good product overall.
What problems is the product solving and how is that benefiting you?
It’s useful for tracking logs and monitoring custom metrics, and it makes it easier to follow what’s happening over time.
All-in-One Observability That Speeds Up Root Cause Analysis
What do you like best about the product?
I like the concept overall, the system that tracks every data point your applications provide and you can collect and analyse it in a single space.
It basically allows to find the root cause of issues much faster as you are able to correlate data from different sources (server load, logs, network performance etc.)
And because of all those data agregated in one place you can setup notifications based on multiple metrics together, not just one. Or even do something with webhook.
It basically allows to find the root cause of issues much faster as you are able to correlate data from different sources (server load, logs, network performance etc.)
And because of all those data agregated in one place you can setup notifications based on multiple metrics together, not just one. Or even do something with webhook.
What do you dislike about the product?
I personally don't really enjoy Datadog's interface, it does look modern and UI elements are small, but I don't have any other complaints so far.
What problems is the product solving and how is that benefiting you?
Datadog allows to identify what caused some problem fast, closely monitor systems with useful notifications that based on multiple metrics, and improve and analyse performace of applications I manage.
Fast, Unified Observability That Speeds Up Production Root-Cause Analysis
What do you like best about the product?
What I like best about Datadog is how fast it helps teams understand what’s actually happening in production. The platform brings logs, metrics, traces, and real-time alerts into a single, intuitive view, so you’re not jumping between tools when something goes wrong. That unified observability makes it much easier to identify root causes quickly, especially in complex, distributed systems.
What do you dislike about the product?
Cost can escalate quickly. Pricing is usage-based, so as log volume, metrics, or hosts scale up, it’s easy for costs to grow faster than expected if usage isn’t closely monitored.
What problems is the product solving and how is that benefiting you?
Datadog is solving the core problem of not knowing what’s happening inside your systems when it matters most, and it benefits you by saving time, reducing stress, and helping you make better decisions.
All-in-One Monitoring with Real-Time Insights
What do you like best about the product?
It brings metrics, logs, traces, and alerts into a single, intuitive platform.
Real-time dashboards and powerful visualizations make it easy to identify issues quickly.
Real-time dashboards and powerful visualizations make it easy to identify issues quickly.
What do you dislike about the product?
Fine-tuning alerts and dashboards often takes time to avoid noise and false positives.
What problems is the product solving and how is that benefiting you?
It centralizes metrics, logs, traces, and alerts across applications, infrastructure, and cloud services in one platform.
Effortless Observability Across Platforms, Services and Integrations for Always-On Reliability
What do you like best about the product?
Firstly, Its integration capabilities to Hosts (Windows/Linux/mac), Platforms (AWS, Azure which I use, plus GCP etc) and container platforms (Docker, Kubernetes) etc benefits alot of usecases as DD server as a one stop shop. We have support for multiple programming languages to easily publish logs to Datadog directly right form your application code, eliminating any fancy stuff.
We have very reliable feature slike smart health checks and automated test suites so we catch problems before they hit. On-call teams get instant alerts, incident triage, and even automated workflows for triage etc enhance teams to focus fixing issues quickly and stress-free with some readily available first hand information.
Dashboards with visualizations like line, bar, pie, and timeseries charts cater to different use cases—such as applications, infrastructure, and databases—making it easier to monitor performance. DD become an integral part of our daily operations, helping outquickly spot anomalies and simplifying the overall and managing workflows.
Its easy to setup/install/implement agent configuration (Pre designed Installation URL with installation script) doesnt take more than 5mins. Users can readily build dashboards in under 15 mins for prod grade setup. [ In general its just 5mins as publicised by Datadog].
DD do has great customer support but we rarely need that as most of the stuff has documentation and easy to setup or configure.
We have very reliable feature slike smart health checks and automated test suites so we catch problems before they hit. On-call teams get instant alerts, incident triage, and even automated workflows for triage etc enhance teams to focus fixing issues quickly and stress-free with some readily available first hand information.
Dashboards with visualizations like line, bar, pie, and timeseries charts cater to different use cases—such as applications, infrastructure, and databases—making it easier to monitor performance. DD become an integral part of our daily operations, helping outquickly spot anomalies and simplifying the overall and managing workflows.
Its easy to setup/install/implement agent configuration (Pre designed Installation URL with installation script) doesnt take more than 5mins. Users can readily build dashboards in under 15 mins for prod grade setup. [ In general its just 5mins as publicised by Datadog].
DD do has great customer support but we rarely need that as most of the stuff has documentation and easy to setup or configure.
What do you dislike about the product?
In our current context,
As our infrastructure or application footprint grows, storage costs increase proportionally and can become a major expense. If we need to retain data for extended periods, expect those costs to rise even further (so storage necessity is the key).
Just like other platforms, Datadog also offers numerous integrations with third-party platforms like Slack, Microsoft Teams, and Jira. We leveraged on all these channels initially that lead to increased costs, as each integration added complexity and resource usage along with increase complexity implementing them. We had to strip someof them to manage cost and purpose of applications at different environment levels.
There are so many options for same purpose but without proper guidance or complete understanding of that usecase, we may en dup implement more than what is required. So purpose is key here.
As our infrastructure or application footprint grows, storage costs increase proportionally and can become a major expense. If we need to retain data for extended periods, expect those costs to rise even further (so storage necessity is the key).
Just like other platforms, Datadog also offers numerous integrations with third-party platforms like Slack, Microsoft Teams, and Jira. We leveraged on all these channels initially that lead to increased costs, as each integration added complexity and resource usage along with increase complexity implementing them. We had to strip someof them to manage cost and purpose of applications at different environment levels.
There are so many options for same purpose but without proper guidance or complete understanding of that usecase, we may en dup implement more than what is required. So purpose is key here.
What problems is the product solving and how is that benefiting you?
1. Datadog is helping us providing the complete picture of problem with some initial details and by giving us a single platform to monitor 50+ microservices across 40+ AWS accounts, so nothing slips through the cracks. we have some first hand information based on automation or test suits logs, we know where to check, leading to less turn around time.
2. It tackles incident management/response challenges with real-time alerts, on-call integration, and automated triage, identifying similar patterns, notes around the service and resolution documents helping us fix issues before they impact customers at large extend. Its integration to different platforms we manage (almost all) is really a value add.
3. Built-in health checks and test suites keep our systems in shape, while integrations with AWS, PagerDuty, Slack, and more make the whole workflow smooth and connected. Datadog eliminates tool silos and creates a smooth workflow for monitoring and incident resolution.
4. From service-level segregation to rich dashboards, Datadog turns most of our log data into simple insights for engineers and execs alike. Different dashboards at low level and higher level made our life easy from monitoring to presenting the data to higher-ups.
2. It tackles incident management/response challenges with real-time alerts, on-call integration, and automated triage, identifying similar patterns, notes around the service and resolution documents helping us fix issues before they impact customers at large extend. Its integration to different platforms we manage (almost all) is really a value add.
3. Built-in health checks and test suites keep our systems in shape, while integrations with AWS, PagerDuty, Slack, and more make the whole workflow smooth and connected. Datadog eliminates tool silos and creates a smooth workflow for monitoring and incident resolution.
4. From service-level segregation to rich dashboards, Datadog turns most of our log data into simple insights for engineers and execs alike. Different dashboards at low level and higher level made our life easy from monitoring to presenting the data to higher-ups.
Real-Time Insights and Effortless Error Tracking
What do you like best about the product?
I like that Datadog shows issues in real time and the filters help me quickly find the key errors without digging through everything.
What do you dislike about the product?
Sometimes the dashboard feels a bit heavy, and it can take time to set up the right filters when the data gets large. and some time the errors are small but it shows high alerts for it.
What problems is the product solving and how is that benefiting you?
Datadog helps us catch issues fast during live esports events like the World Cup. By checking logs and errors in real time, we can fix problems quickly and keep everything running smoothly.
Unmatched Observability and AI Insights, Lightning-Fast Setup
What do you like best about the product?
Datadog gives us a single observability layer that ties metrics, logs, traces, and AI-driven insights together. What I like most is how fast it is to instrument new services, define custom metrics, and build dashboards that actually help teams make decisions. We also use Datadog extensively for deploying internal AI agents—its event streams, log ingestions, and metric pipelines make it easy to create intelligent triggers and automated workflows.
The correlation between logs → metrics → alerts is incredibly powerful, and the AI-based anomaly detection has helped us reduce blind spots in our observability stack.
The correlation between logs → metrics → alerts is incredibly powerful, and the AI-based anomaly detection has helped us reduce blind spots in our observability stack.
What do you dislike about the product?
The biggest drawback is cost. Datadog becomes expensive very quickly—especially when log volumes grow or when you create many custom business metrics. Even with strict retention windows and log pipelines, the monthly bill requires constant governance. It’s a powerful platform, but the pricing model can be a challenge for teams that want broad coverage without compromising on granularity.
What problems is the product solving and how is that benefiting you?
Datadog helps us run a reliable observability platform. We use it to monitor application health, detect failures early, and define custom KPIs for product and engineering teams. It also acts as the signal layer for deploying AI agents—our automated workflows listen to Datadog metrics and logs to trigger alerts, escalations, and self-healing actions.
As a Product Manager, Datadog enables me to set clear SLOs, understand system behavior end-to-end, and reduce MTTD/MTTR significantly. It gives us a proactive observability mindset powered by intelligent metrics and real-time insights, helping us deliver a more stable and predictable platform for users.
As a Product Manager, Datadog enables me to set clear SLOs, understand system behavior end-to-end, and reduce MTTD/MTTR significantly. It gives us a proactive observability mindset powered by intelligent metrics and real-time insights, helping us deliver a more stable and predictable platform for users.
Comprehensive and Dynamic Monitoring for a Complete End-to-End View
What do you like best about the product?
its end-to-end monitoring since it shows us everything we need to see and likewise see what is consumed and all its logs, traces, metrics in a more dynamic way
What do you dislike about the product?
its way of containers that makes the price go up if not configured properly
What problems is the product solving and how is that benefiting you?
Before, I had to check five different tools: one to see the CPU usage of my servers (Metrics), another to find out what caused the error (Logs), and another to see which part of the code slowed down (Traces). This is slow and makes me waste time jumping between tabs.
Comprehensive Monitoring, But Setup Could Improve
What do you like best about the product?
I love how Datadog integrates seamlessly into a multi-cloud platform, providing real-time metrics that are crucial for monitoring and observability. The highly customizable dashboards allow me to tailor the analytics to fit my exact needs while the fine-tuning alert options ensure that I am always informed without being overwhelmed. These combined features help significantly in tracking system performance metrics and logs, greatly aiding in root cause analysis (RCA).
What do you dislike about the product?
I find the setup of Datadog to be inefficient and somewhat challenging, making the initial configuration process moderately hard. Additionally, the cost of using Datadog is quite high, and it would be beneficial if there were discounts available for first-time users to ease the financial burden.
What problems is the product solving and how is that benefiting you?
I use Datadog for centralized monitoring and observability, tracking system performance metrics, logs, and root cause analysis. It integrates with multi-cloud platforms, provides real-time metrics, and features customizable dashboards and alert options.
Comprehensive Monitoring Tool with Powerful Insights but High Costs
What do you like best about the product?
What I like best about Datadog is how seamlessly it brings together metrics, logs, and traces in one place. The dashboard is very intuitive, and it’s easy to set up real-time monitoring for applications and infrastructure. I also like how flexible it is — you can create custom dashboards, set alerts, and get deep visibility into performance issues quickly. It really helps in identifying bottlenecks before they impact users.
What do you dislike about the product?
The main downside of Datadog is its pricing — it can get quite expensive as your infrastructure and data volume grow. Managing costs can be tricky, especially when you’re monitoring multiple environments. Also, the interface, while powerful, can feel a bit overwhelming at first due to the number of features and options available. It takes some time to get fully comfortable navigating everything.
What problems is the product solving and how is that benefiting you?
Datadog helps us monitor our entire system — from backend services and APIs to frontend performance — all in one place. It gives real-time visibility into logs, metrics, and traces, which makes it much easier to detect and troubleshoot issues quickly. Thanks to Datadog, we’ve reduced downtime, improved application performance, and gained better insights into how different parts of our system interact. It really helps our team stay proactive instead of reactive when it comes to performance and reliability.
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