Cisco Meraki Wireless LAN and Mist AI and Cloud are prominent competitors in the wireless LAN market. Both products are known for unique strengths, yet Mist AI and Cloud may have a slight edge due to its advanced AI-driven capabilities.
Features: Cisco Meraki Wireless LAN distinguishes itself with centralized cloud-based management for easy configuration and visibility. Its seamless integration and beneficial features for smaller organizations or those with limited IT staff are noteworthy. Mist AI and Cloud offers automation driven by AI, enhancing troubleshooting and user experience, with the Marvis feature adding value through rapid issue identification.
Room for Improvement: Cisco Meraki Wireless LAN could improve in error logs, support service consistency, and advanced user features. Its rigid configuration and higher operational costs post-license expiry can be a frustration. Mist AI and Cloud encounters criticism for high pricing and documentation gaps. Enhancing support and device compatibility would help its adoption.
Ease of Deployment and Customer Service: Cisco Meraki Wireless LAN supports diverse deployment models, including on-premise, public, and hybrid clouds, coupled with generally positive support experiences despite some delays. Mist AI and Cloud is efficient across cloud options, though it faces critique for lacking local presence.
Pricing and ROI: Cisco Meraki Wireless LAN promises high ROI with robust features but is noted for high initial and recurring costs due to its subscription model. Mist AI and Cloud is similarly priced but emphasizes moderate costs for its capabilities. Both face concerns regarding annual licensing despite promised ROI through efficiency and automation.
It would be better if the SLA of technical support was less than four hours.
The support quality needs improvement, particularly in terms of reachability and response time after the merger.
Meraki is not scalable enough since it straightforwardly maps its products to segmented specifications.
In terms of scalability, Mist AI and Cloud is scalable.
I would rate scalability at nine out of ten.
We have experienced many instances where we have experienced a lag in our network, and I am not sure if it is due to their devices or our network.
Stability is not an issue for me because it comes with Cisco's proven manufacturer quality.
Mist AI and Cloud is stable, and I would rate its stability as eight out of ten.
The most important improvement needed is to eliminate the limitation of uplinks.
Some of the newer models of the Cisco Meraki Wireless LAN access point have encompassed the new wireless protocols and increased the strength of their antennas.
Since the merger or integration between Mist AI and Cloud and HP, it has affected service quality negatively.
From a Juniper perspective, there is a need for further improvements in the SRX and the given solution area.
Cisco Meraki Wireless LAN is on par with other devices in that category, offering competitive pricing.
The pricing of Cisco Meraki Wireless LAN is not competitive enough for the SMB market compared to other brands.
Compared with other solutions, Mist AI and Cloud is not that expensive and is considered moderate in pricing.
It also manages security clients and switches, providing a single dashboard to manage multiple network infrastructures.
The ability to program all access points from the Cisco Meraki Wireless LAN dashboard, view the status of all of them, and examine the individual devices connected to each access point is very valuable.
Mist AI and Cloud's orchestration is beneficial for troubleshooting and proactive analysis, offering proactive solutions before issues arise.
The AI-driven automation, like Mist, assists the network manager and operation manager in troubleshooting the wireless network by identifying signal issues and offering timely assistance.
Mist AI uses a combination of artificial intelligence, machine learning, and data science techniques to optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains.
Data is ingested from numerous sources, including Juniper Mist Access Points, Switches, Session Smart Routers, and Firewalls for end-to-end insight into user experiences. These devices work in concert with Mist AI to optimize user experiences from client-to-cloud, including automated event correlation, root cause identification, Self-Driving Network™ operations, network assurance, proactive anomaly detection, and more.
Juniper also leverages Mist AI for next-generation customer support. It is the foundational element behind Marvis, the industry’s first AI-driven Virtual Network Assistant, which provides extensive insight and guidance to IT staff via a natural language conversational interface.
With Mist AI, operators save time and money with faster problem resolution and fewer onsite visits. Users benefit from a network infrastructure that is more predictable, reliable, and measurable.
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