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ManageEngine NetFlow Analyzer - Professional Edition - 50 Interfaces

ZOHO Corporation | 125476

Windows, Windows Server 2019 Base Microsoft Windows Server 2022 - 64-bit Amazon Machine Image (AMI)

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External reviews

2 reviews
from G2

External reviews are not included in the AWS star rating for the product.

    Cham S.

Best Bandwidth monitoring Application - Manage Engine

  • September 01, 2021
  • Review verified by G2

What do you like best?
NetFlow Analyzer application provides in-depth visibility to our network. Especially bandwidth traffic and patterns can identify accurately. Report function and device group option is a very demanding application feature with ICT engineers.
What do you dislike?
As a regular user, I don't have any dislike points to mention. All the application features are great.
What problems is the product solving and how is that benefiting you?
Bandwidth monitoring issues. Top user conversations and identify unwanted traffic. Separately application traffic monitoring using the group feature for identify correct traffic path
Recommendations to others considering the product:
We use Netflow Analyzer to manage the entire network activity. It helps to identify and troubleshoot what types of activity are happening in our network—recommending this application to all ICT end-users.

    Education Management

Great for Monitoring!

  • October 31, 2018
  • Review verified by G2

What do you like best?
The NetFlow Analyzer tool allows you to setup automated notifications to let you know what is wrong BEFORE it becomes a critical issue on your network. It streamlines processes so you don't have to log into each and every system to individually check it, only needing to look when notified.
What do you dislike?
The only complaint I have is that support could be better. Everything else seems to work for us just great.
What problems is the product solving and how is that benefiting you?
We are keeping systems up more fluidly, being able to detect when we have issues before they arise and take systems offline during critical times. If we detect an issue, we can schedule downtime for the affected system and have less impact on the end user.

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