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: March 2026).

Azure Network Watcher vs. Datadog

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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

42nd

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

7.0

Number of Reviews

209

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)

Mindshare comparison

As of April 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 2.6%, down from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Monitoring Software Mindshare Distribution
Product	Mindshare (%)
Datadog	2.6%
Azure Network Watcher	0.5%
Other	96.9%

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

"My advice to others looking into using Azure Network Watcher is to go for it, as you'll have the tool by default when you're subscribed to Azure VNet."

"The solution is stable, there are no bugs or glitches and it doesn't crash or freeze, it's reliable."

"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."

"The most valuable features I have found are typology, visualization, and capture."

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

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

"The solution is good for monitoring device behavior."

"This is a stable system providing stable performance."

More Azure Network Watcher pros

"The infrastructure monitoring capabilities, especially for our Kubernetes clusters, have helped us optimize resource allocation and reduce costs."

"The APM has made observability and tracing more accessible to developers."

"Datadog has proven to be easy to set up and legible for both development and operational teams."

"Session recordings have been the most valuable to me as it helps me gain insights into user behaviour at scale."

"Across CCM and the rest of Datadog, I like how sharable everything is."

"It has empowered all our platform engineers with a very powerful and easy to use monitoring system."

"However, Datadog has so far been a breeze to use and set up."

"The infrastructure monitoring capabilities are really valuable. You can just log on and see everything that is happening within an IT environment."

More Datadog pros

Cons

"Technical support from Microsoft needs significant improvement compared to other product vendors."

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

"The solution could use some additional components of the network culture, not only VMs. I'd like to see some additional security features because what they currently have concentrates only on the network."

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

"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."

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

"Sometimes, you encounter a VPN tunnel, network, or routing issue, but finding out more about the blockage is challenging."

More Azure Network Watcher cons

"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."

"A big problem with Datadog is the billing. They need to make the billing more user-friendly."

"Datadog could improve the flexibility with AI and ML concepts."

"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."

"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."

"One thing we have run into is that it is so easy to add monitoring that we turn on things without really understanding the costs."

"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."

"Datadog can be improved because sometimes it seems it has not been developed for enterprises."

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."

"This solution is budget friendly."

"They prefer monthly subscriptions."

"The tool is open-source."

"It has a module-based pricing model."

"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."

"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."

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

"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Construction Company

10%

University

Comms Service Provider

Financial Services Firm

13%

Computer Software Company

10%

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	81
Midsize Enterprise	46
Large Enterprise	99

Questions from the Community

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

I do not have the exact setup cost information on hand, but it is available in the public Azure portal. You can access the calculator there to get detailed pricing information.

What needs improvement with Azure Network Watcher?

The main area for improvement is AI-based features. Currently, many intelligent tools are coming from third parties, and Azure Network Watcher needs to improve in this area. The focus should be on ...

What is your primary use case for Azure Network Watcher?

Azure Network Watcher is used for monitoring network traffic. It provides insight into egress and ingress traffic, which helps determine whether consumption can be controlled. Most Azure services c...

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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Product Reports

Azure Network Watcher

Download Azure Network Watcher product report

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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

Azure Network Watcher vs. Datadog