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Mist AI and Cloud vs Mojo Networks comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 31, 2024

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

Mist AI and Cloud
Ranking in Wireless LAN
13th
Average Rating
7.8
Reviews Sentiment
7.8
Number of Reviews
23
Ranking in other categories
No ranking in other categories
Mojo Networks
Ranking in Wireless LAN
21st
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Wireless LAN category, the mindshare of Mist AI and Cloud is 2.2%, down from 3.3% compared to the previous year. The mindshare of Mojo Networks is 0.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Wireless LAN
 

Featured Reviews

RahulSivanandan - PeerSpot reviewer
Analytics and automation simplify wireless management and proactive troubleshooting
The analytics part of Mist AI and Cloud is really helpful, including correlation and event analysis. These features make Mist AI and Cloud stand out in the market. The automation capabilities are quite impressive, making it easy to manage and maintain. Mist AI and Cloud's orchestration is beneficial for troubleshooting and proactive analysis, offering proactive solutions before issues arise. Additionally, the platform is easy to deploy.
Robert Wambani - PeerSpot reviewer
Offers great control and visibility to users, along with availability on the cloud
The other solutions did not offer the visibility that Mojo Networks offered. During the rolling out of the installation process, you have to go through the on-premises model to be able to make some changes. If somebody needs to make necessary changes, you must go to the on-premises model with the initial product. With the cloud solution, you don't have to go for the on-premises model, as you can make the changes over the cloud. The stability offered by Mojo Networks is better than the other products available in the market since, with other tools, you need to keep restarting them frequently, and it may be required once or twice a day, especially if it is used as an enterprise solution or in an enterprise environment, where the traffic is too high, causing the build-up of a lot of cache memory, fill-ups, and SRAM, a reason why one will have to restart such products.

Quotes from Members

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

Pros

"The triangulation feature can be used to determine where a person is in relation to the access point."
"The cost is the most valuable aspect of this solution."
"It's really easy to provision and support. Those are its main features."
"Has an extremely good feature set."
"AI is the most valuable feature."
"AI-driven automation helps implement the solution quickly."
"Mist AI and Cloud is ideal as we move towards the AI world."
"Mist AI and Cloud is the best solution I have seen in the industry, especially from the artificial intelligence perspective, as it helps businesses."
"The security is a valuable feature."
"It is a hundred percent scalable product since its functionalities are good...It is a very stable product."
"It has given us a huge leg-up when competing with other managed service providers who use different vendors because of the visibility it gives us to customers' traffic for troubleshooting purposes."
"The solution is very stable."
"The cloud-based architecture of the controller is valuable because it obviously saves on my hardware costs.​"
"It's scalable. You don't have to configure an access point. Literally, if I needed a new one, I just take it right out of the box, go plug it into our network. It finds our Mojo network, and then it talks to the other access points that are close to it, and then it literally adopts the policies, and meshes itself in our network."
"Initial setup was straightforward."
"The fact that they are autonomous and can function even without access to the management panel is the most valuable aspect of this solution."
 

Cons

"The solution doesn't provide mail notifications currently."
"It would be beneficial to have support for the Chinese language."
"Mist AI and Cloud should be marketed more and focus on making partners in the industry."
"Regarding opportunities for improvement in Mist, it is notable for its robust cloud portal and integration of artificial intelligence into various services, creating a highly efficient environment for work. However, a drawback lies in the cost associated with its WiFi offerings. With a pricing range of twelve hundred to fifteen hundred dollars for a single Access Point, exclusive of the subscription, it is acknowledged as a relatively expensive solution in the realm of WiFi services. Despite this drawback, the positive attributes of Mist make it a noteworthy option."
"Configuration could be improved."
"The solution has various licensing policies. It will be easy to use if it is an open single license."
"There could be more integration."
"There is no local support for Mist in Brazil."
"The distribution can be improved, particularly in this part of the world."
"The setup was complex."
"The renewal costs that come with it are very expensive."
"The implementation could be simplified. Right now it's a bit complex."
"The product's initial setup phase and configuration are areas with certain shortcomings where improvements are required."
"Further expanding the API and access to even more diagnostics, as I have found a few limitations when I am dealing with them right now."
"They could use more additional application security and network security features. They could add on to the WiFi as a selling point. It would be nice to be able to say to the WiFi users, "We will protect you against viruses and malware, so you don't have to purchase that.""
"My only complaint about this product is its availability. Not many people can stock it and ordering from overseas is a challenge."
 

Pricing and Cost Advice

"Mist AI and Cloud is expensive."
"The solution's price is too high for the end-users. My customers pay 1,000 USD towards the licensing cost of the solution every year."
"Depending on the features, I think it's quite reasonably priced, especially considering the facilities of the product."
"I rate the pricing a seven on a scale of one to ten, where one is low and ten is high."
"The solution is expensive in Brazil."
"The custom licensing is a little bit expensive and I would rate it 7.5 out of 10."
"The price is not cheap, but it's a reliable solution and very easy for management."
"The price of Mist AI and Cloud is approximately 20 percent less than competitors, such as Aruba and Cisco. However, Cisco has a lifetime warranty for its solutions."
"The price of the solution is too high for our country."
"The pricing was a good value and substantially less than some of the other products that we looked at. In some cases, with some of the big names, this product was even close to half the price."
"I rate the product's price as an eight on a scale of one to ten, where one is cheap, and ten is expensive."
"We have a term that is renewed every three years."
"The cost is a one-time fee."
"Since they have only the cloud and on-premises platform, the price looks good compared to the other OEMs like Cisco and Ruckus. For one of the Wi-Fi 6 access points for five years, they might be charging 20,000 to 25,000 INR."
"There are other solutions, like Ubiquiti, that have lowered their prices, which sometimes makes the argument to go with them. However, we do not bake in the WiFi for other vendors into our managed services, because they do not meet our standard offering."
"It requires a license and that's a recurring cost and that has a really high cheque value."
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Top Industries

By visitors reading reviews
Educational Organization
29%
Computer Software Company
16%
Financial Services Firm
6%
Manufacturing Company
6%
Computer Software Company
17%
Manufacturing Company
13%
Financial Services Firm
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Mist AI and Cloud?
AI-driven automation helps implement the solution quickly.
What is your experience regarding pricing and costs for Mist AI and Cloud?
The price is very high in Brazil because of the high tax. The solution is expensive in Brazil.
What needs improvement with Mist AI and Cloud?
There are many aspects of AI, and how acquisitions are proceeding, particularly between Juniper and Aruba, remains unclear. From a Juniper perspective, there is a need for further improvements in t...
What do you like most about Mojo Networks?
It is a hundred percent scalable product since its functionalities are good...It is a very stable product.
What is your experience regarding pricing and costs for Mojo Networks?
I rate the product's price as an eight on a scale of one to ten, where one is cheap, and ten is expensive. People are not used to cloud-based Wi-Fi solutions. When it comes to cloud-based Wi-Fi sol...
What needs improvement with Mojo Networks?
The product's initial setup phase and configuration are areas with certain shortcomings where improvements are required. Those who are not familiar with the product might not be able to set it up p...
 

Also Known As

Mist Access Points
Mojo Networks WLAN, AirTight Networks, AirTight, Mojo Aware
 

Overview

 

Sample Customers

Dartmouth, Hitachi, Memorial Sloan Kettering Cancer Center, Nebraska Furniture Mart, NTT, Okta
Robert Half, Yum Brands, Costco, AMC, NEC, Walsh University, JCT600, Region 6 Education Service Center, Universidad Alfonso X el Sabio, Santa Rosa County District Schools, Marysville Schools, Knob Noster Public Schools, Tao Group, Presidio Partners, Garden Fresh Restaurant Corp, Zurich, Hesperia Unified School District, Maine Medical Center
Find out what your peers are saying about Mist AI and Cloud vs. Mojo Networks and other solutions. Updated: April 2025.
851,371 professionals have used our research since 2012.