Compare Exinda vs. Ipanema IpIengine

Exinda is ranked 2nd in WAN Optimization with 1 review while Ipanema IpIengine is ranked 12th in WAN Optimization. Exinda is rated 10.0, while Ipanema IpIengine is rated 0. The top reviewer of Exinda writes "Exinda was a life saver for our voice traffic". On the other hand, Exinda is most compared with Riverbed Steelhead, Allot NetEnforcer and NetScaler SD-WAN, whereas Ipanema IpIengine is most compared with Riverbed Steelhead, NetScaler SD-WAN and WAAS.
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Exinda Logo
1,995 views|1,111 comparisons
Ipanema IpIengine Logo
824 views|710 comparisons
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Ranking
2nd
out of 22 in WAN Optimization
Views
1,995
Comparisons
1,111
Reviews
1
Average Words per Review
190
Avg. Rating
10.0
12th
out of 22 in WAN Optimization
Views
824
Comparisons
710
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 25% of the time.
Compared 20% of the time.
Compared 19% of the time.
Compared 8% of the time.
Also Known As
IpIengine
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Ipanema Technologies
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Overview
Exinda is designed to help Network Managers solve pressing IT problems in today's complex network. Our award winning technology combines interactive analytics, an intelligent recommendation engine and powerful actions like shaping and optimization, all in one solution.

The Ipanema Autonomic Networking System (ANS) uses both software and hardware components. The fully featured hardware components are called ip|engines. These devices are installed within the customer VPN at edge locations, typically between a CPE router and the LAN. Requiring no specific local configuration except an IP address, an ip|engine is a self-managed and cooperative device that operates under the control of the ANS central management software, called SALSA. Each ip|engine acts as a local point of control within ANS. ip|engines work collectively in real-time to discover the applications and measure the network's performance and usage ip|engine. As part of ANS, the ip|engines cooperate and tune themselves automatically to the dynamic nature of the application traffic, globally enforcing the Application SLAs. They take into account meshed flows, different types of congestion, application competition for resources and so on. The ip|engines adapt to longer term changes within the business, such as a change in the distribution of users across sites, a newly deployed application or a new site, as well as the evolution of infrastructure and services into the cloud.

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Sample Customers
UMass Dartmouth, MLB Network, R&R Ice Cream, Savills, Manhattan School of Music, Blum Shapiro, Cincinnati Public Schools, City of Richmond, Genting Casinos, The Salvation Army, VoIP Unlimited, Frontier Silicon, Lakeshore Toltest, CTI FoodsValeo, KBC, Henkel, Bouygues Telecom, Gemalto, VDABês, Globus, EADS, faurecia, Fiat, Renault Nissan, Safran, Valeo, Volvo, Aviva, Visa, L'Oreal, Hasbro, Moet & Chandon Champagne
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