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ExtraHop Reveal(x) for IT Operations vs cPacket cStor Forensic Storage Arrays comparison

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Comparison Buyer's Guide

Executive Summary
 

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
cPacket cStor Forensic Stor...
Ranking in Network Monitoring Software
106th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
ExtraHop Reveal(x) for IT O...
Ranking in Network Monitoring Software
57th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
8
Ranking in other categories
Network Diagnostics (5th), IT Operations Analytics (11th), Network Packet Capture (2nd)
 

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 cPacket cStor Forensic Storage Arrays is 0.1%, down from 0.1% compared to the previous year. The mindshare of ExtraHop Reveal(x) for IT Operations is 0.7%, up from 0.6% 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…
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Out West - PeerSpot reviewer
Great for identifying application interdependencies with helpful support but needs better visualizations
We're just trying to identify the application interdependencies, which normally reside on different servers, including web servers, database servers, enterprise service bus, et cetera, up to your presentation layer before we start moving stuff around. Normally, the reason why we use these tools is to understand what assets we have, where they're deployed, and how they enter and operate before we decide to go move something from point A to point B. The solution is going to allow me to establish a wave or migration plan where you have different waves of migration and then you actually have move groups to try and get your application moved from A to B seamlessly. A to B could be on-premise to on-premise. It could be on-premise to cloud. Et cetera. The solution can tell me what components can I deploy, for example, into a cloud space, without having to refactor my applications since that can be quite time-consuming and costly.
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
12%
Manufacturing Company
9%
Government
8%
No data available
Educational Organization
58%
Financial Services Firm
10%
Computer Software Company
5%
Government
3%
 

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.
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What do you like most about ExtraHop Reveal(x) for IT Operations?
This solution is more applications reference architecture focused. Its benefit is that it specializes in that space.
What needs improvement with ExtraHop Reveal(x) for IT Operations?
What they can improve would be building a broader reach in terms of capabilities. At the same time, there are other t...
 

Also Known As

No data available
cStor
No data available
 

Overview

 

Sample Customers

Information Not Available
Vodafone
Alaska Airlines, bet365, Concur, McKesson, Microsoft, Morgan Stanley, Practice Fusion, Seattle Children's Hospital, Steward Health Care System
Find out what your peers are saying about Zabbix, Datadog, Auvik and others in Network Monitoring Software. Updated: November 2024.
816,406 professionals have used our research since 2012.