Try our new research platform with insights from 80,000+ expert users

Azure Network Watcher vs Flowmon comparison

Sponsored
 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 10, 2024

Review summaries and opinions

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

Customer Service

No sentiment score available
Sentiment score
7.1
Azure Network Watcher support is generally rated good but experiences vary, with room for improvement in response speed.
Sentiment score
8.0
Flowmon provides solid support through resellers and its team, though users lack details on costs and specific issues.
 

Room For Improvement

No sentiment score available
Sentiment score
6.4
Azure Network Watcher needs simpler setup, intuitive interfaces, integrated features, enhanced documentation, improved security, and more open-source functionality.
No sentiment score available
 

Scalability Issues

No sentiment score available
Sentiment score
7.2
Azure Network Watcher is scalable, popular with diverse organizations, supports Kubernetes, but focuses mainly on traffic monitoring.
No sentiment score available
 

Setup Cost

No sentiment score available
Sentiment score
6.8
Azure Network Watcher is deemed costly by some, yet affordable by others, mainly suited for enterprise use.
No sentiment score available
Flowmon users find pricing high and confusing, with separate costs for licensing, support, and variable setup expenses.
 

Stability Issues

No sentiment score available
Sentiment score
8.0
Azure Network Watcher offers highly reliable, stable performance, with users appreciating its dependability and comparability to other monitoring tools.
Sentiment score
8.8
Flowmon users frequently report stable and reliable performance, expressing satisfaction with no complaints or noted issues.
 

Valuable Features

No sentiment score available
Sentiment score
8.5
Azure Network Watcher provides network monitoring, security, and diagnostics features, supporting compliance and offering tools for I/O analysis.
No sentiment score available
Flowmon enhances network monitoring with AI, addressing slowdowns and lateral movements, integrating with SNMP and SIEM for security.
We need this solution to monitor the network performance.
 

Categories and Ranking

Juniper Mist Premium Analytics
Sponsored
Ranking in Network Monitoring Software
58th
Average Rating
8.0
Reviews Sentiment
8.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Azure Network Watcher
Ranking in Network Monitoring Software
29th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Flowmon
Ranking in Network Monitoring Software
70th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
4
Ranking in other categories
Network Detection and Response (NDR) (19th)
 

Mindshare comparison

As of November 2024, in the Network Monitoring Software category, the mindshare of Juniper Mist Premium Analytics is 0.4%, up from 0.3% compared to the previous year. The mindshare of Azure Network Watcher is 0.5%, down from 1.0% compared to the previous year. The mindshare of Flowmon is 0.7%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software
 

Featured Reviews

ALEXANDRE VIANNA - PeerSpot reviewer
Has a single dashboard, but is expensive
We use this solution to manage our mission environment The single dashboard is a valuable feature.  The technical support needs improvement. The initial setup is straightforward. The solution is expensive. I rate the pricing an eight out of ten.  Overall, I rate the solution a seven out of…
Emanuel Kjellin - PeerSpot reviewer
An affordable solution to block and analyze the situation with VPN troubleshooting feature
If Azure Network Monitor is part of the solution, it's a comprehensive tool. For example, during cloud migration, the workload on the cloud can be significant. However, the Ethernet solution is low cost and provides a fast return on investment. In larger scenarios, such as a major deployment, the return on investment might take three months to a year. The solution involves managing workloads, machine storage, and network modes.
Pifu Lin - PeerSpot reviewer
Quick identification of network issues enhances performance monitoring
We will try to Proof of Concept (POC) to a client in Taiwan. We just use the features for the Network Performance Monitor (NPM) Flowmon is more easy to understand and helps find network issues more quickly. We need this solution to monitor the network performance. We started using it three…
report
Use our free recommendation engine to learn which Network Monitoring Software solutions are best for your needs.
816,406 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
12%
Manufacturing Company
9%
Government
8%
Financial Services Firm
17%
Computer Software Company
14%
Government
10%
Insurance Company
6%
Computer Software Company
21%
Financial Services Firm
10%
Manufacturing Company
9%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What do you like most about Juniper Mist Premium Analytics?
We can manage the entire system across the network and troubleshoot the pain points.
What do you like most about Flowmon Anomaly Detection System?
The artificial intelligence and automatic detection system in Flowmon Solution are perfect for every, type of custome...
What needs improvement with Flowmon Anomaly Detection System?
If there was better visualization in Flowmon Solution it would be good.
 

Also Known As

No data available
No data available
Flowmon Anomaly Detection System
 

Overview

 

Sample Customers

Information Not Available
Information Not Available
SEGA
Find out what your peers are saying about Azure Network Watcher vs. Flowmon and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.