Azure Network Watcher vs Datadog comparison

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Azure Network Watcher

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Executive SummaryUpdated on Jan 25, 2026

Datadog and Azure Network Watcher are both competing in the monitoring tools category. Datadog holds an upper hand with its rich features and seamless integration capabilities, appealing to cloud environments.

Features: Datadog's valuable features include sharable dashboards, seamless alerting, and easy integration with cloud services. Its ability to handle large amounts of data and provide intuitive tagging makes it easy to create monitors, enhancing efficiency. Azure Network Watcher provides essential network monitoring tools such as typology visualization, connection troubleshooter, and packet capture options, focusing on connectivity and security.

Room for Improvement: Datadog users suggest improvements in historical data performance, cost predictability, and query performance. They would like to see expanded AI capabilities within the tool. Azure Network Watcher could improve its documentation, incorporate more built-in applications for detailed traffic analysis, and integrate with Wireshark for enhanced packet capture analysis.

Ease of Deployment and Customer Service: Datadog's flexible deployment across private, public, and hybrid cloud environments coupled with responsive customer service gives it an advantage. Azure Network Watcher is specifically tailored for public cloud environments and is praised for its user-friendly design, although there is room for improvement in service responsiveness.

Pricing and ROI: Datadog is considered expensive but delivers a positive ROI through significant operational efficiencies and comprehensive features. Azure Network Watcher offers affordable pricing for standard usage, but costs can escalate with detailed matrices. Its ROI primarily focuses on optimizing network management.

To learn more, read our detailed Azure Network Watcher vs. Datadog Report (Updated: December 2025).

Azure Network Watcher vs. Datadog

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Azure Network Watcher

Ranking in Network Monitoring Software

41st

Average Rating

8.0

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Ranking in Network Monitoring Software

3rd

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

211

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)

Mindshare comparison

As of January 2026, in the Network Monitoring Software category, the mindshare of Azure Network Watcher is 0.5%, up from 0.4% compared to the previous year. The mindshare of Datadog is 2.4%, down from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Monitoring Software Market Share Distribution
Product	Market Share (%)
Datadog	2.4%
Azure Network Watcher	0.5%
Other	97.1%

Network Monitoring Software

Featured Reviews

Bijoyendra Roychowdhury

Program Manager at a consultancy with 10,001+ employees

Network monitoring provides comprehensive analytics while the interface requires further development

The quality of Azure Network Watcher is quite good in terms of the in-depth analysis you can create from these matrices. There are other monitoring tools such as New Relic, AppDynamics, and Dynatrace which provide very detailed network tracing. Cloud providers such as Azure or AWS do not have that kind of GUI-based capability at this point, but using PowerShell or Python, you can develop it yourself. From the GUI perspective, it still needs to evolve in terms of quality and standard, though overall, it is quite good for troubleshooting. Regarding areas for improvement, when comparing to other network tools beyond Azure Monitor or Azure Network Watcher, those tools can identify single failed packets. This level of granularity is not currently possible with cloud providers as they only go to a certain level rather than the granular level needed for deep troubleshooting, though they do provide hints with available matrices.

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Dhroov Patel

Site Reliability Engineer at Grainger

Has improved incident response with better root cause visibility and supports flexible on-call scheduling

Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature of Azure Network Watcher is using the gateways with the connections. The monitoring is useful for the logs and application insights into the data. The traffic filtering issues when it comes to deploying those applications are helpful."

"Azure Network Watcher provides valuable features based on your specific requirements and use cases, helping you monitor network bandwidth, throughput, data flow consumption, and control costs by giving insight into egress and ingress traffic, total input and output operations, bandwidth, and threats through IP identification."

"The solution is good for monitoring device behavior."

"The most valuable feature of Azure Network Watcher is the cloud-native application firewall. It is helpful for securing databases."

"What I like most about Azure Network Watcher is that it's focused more on the architecture. I also like that it has a packet capture feature that tells you how the packet travels and whether it's exiting Azure, etc."

"The stability is very good. I rate it a ten out of ten."

"I like the visibility."

"We use the solution to monitor network services. It helps to capture any network issues."

More Azure Network Watcher pros

"The setup cost was minimal."

"The solution has improved the organization by providing good insights into app performance and offering good dashboards."

"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 have found the logging and tracing features the most valuable."

"I find the greatest feature is being able to search across logs from various microservices."

"Datadog has positively impacted our organization by allowing us to look at things such as Cloud Spend and make sure our services are running at an optimal performance level."

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

"The solution allows flexibility and heightened observability for presenting data, creating indicators, and setting service-level objectives."

More Datadog pros

Cons

"User experience could be improved."

"Lacks sufficient security features."

"The solution could improve by limiting the need to clarify the logs. When the clarification is minimized, it is better for everyone involved."

"Azure Network Watcher needs to have better documentation and it needs to capture information accurately."

"The initial setup and initial learning curve could be improved to be easier."

"There are some occasional downtimes, but these were based on Azure-specific issues."

"The initial setup and deployment could be improved to be simplified."

"Azure Network Watcher could improve by having other built-in applications. For example, an application to log activities for in and outbound traffic."

More Azure Network Watcher cons

"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."

"Alerting timing should be improved to be more fine-tuned and exact."

"They should continue expanding and integrating with more third-party apps."

"The pricing should be less of a surprise."

"I would love to see more metrics or analytics in IoT devices."

"Datadog isn't as mature as some of the established players like Dynatrace or Splunk. It's a new product, so they are constantly releasing new features, and I don't have much to complain about."

"It would also be nice if we had more insight into our own usage of Datadog (agents and custom metrics). They provide a usage page which does help, but it is not in real-time."

"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."

More Datadog cons

Pricing and Cost Advice

"Price-wise, I have no information on how much Azure Network Watcher costs."

"Azure Network Watcher is a little bit expensive."

"The pricing is good. It's not too expensive."

"The price of the solution is reasonable."

"Licensing is based on the retention period of logs and metrics."

"If you do your homework, you'll find that if you're really concerned with cost, it's good."

"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."

"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."

"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."

"The solution is fairly priced but history and log storage can get costly depending on your needs."

"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."

"It has a module-based pricing model."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Government

11%

University

Comms Service Provider

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	46
Large Enterprise	99

Questions from the Community

What is your experience regarding pricing and costs for Azure Network Watcher?

Azure Network Watcher is affordable from the perspective of basic costing. It doesn't cost too much at this point unless you are requesting customizable detailed matrices. For the default configura...

What needs improvement with Azure Network Watcher?

What is your primary use case for Azure Network Watcher?

The purpose of using Azure Network Watcher is to observe the network flow logs during any kind of troubleshooting. If there is any performance issue or latency issue over the network, we check the ...

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

Datadog vs ELK: which one is good in terms of performance, cost and efficiency?

With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...

Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...

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Compared 3% of the time

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Product Reports

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Azure Network Watcher

January 2026

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January 2026

Overview

Azure Network Watcher is a comprehensive network monitoring and diagnostic service offered by Microsoft Azure. It provides a range of tools and capabilities to help users monitor, diagnose, and gain insights into their Azure network infrastructure. With Network Watcher, users can capture and analyze network traffic, monitor network performance, troubleshoot connectivity issues, and gain visibility into network topology. It also offers features like packet capture, flow logs, connection monitoring, and VPN diagnostics to ensure the smooth operation of Azure networks. Network Watcher enables users to proactively identify and resolve network issues, optimize network performance, and enhance the overall reliability and security of their Azure network environment.

Microsoft

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Sample Customers

Information Not Available

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's