WAN Optimization Ratings (September 2025)
This page breaks down WAN Optimization ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand WAN Optimization’s overall reputation. This data-driven overview will show you exactly how WAN Optimization is rated - including how it compares to competitors.
WAN Optimization's Overall Rating Summary
- Average Rating:4.2/5
- Total Reviews:30 reviews
- Sources:G2, Gartner
- Last updated:September 1, 2025
G2
GartnerWhat is WAN Optimization?
The Riverbed Platform provides a fully integrated pathway to unified observability and optimization powered by AIOps, offering solutions like SteelHead for accelerated application delivery across the Hybrid WAN. It combines network, application, and end-user performance metrics for deep visibility, enabling IT to troubleshoot and fix problems proactively. Key features include application-aware approaches, intent-based global policies, and tools like Riverbed NetProfiler for in-depth traffic insights and network performance optimization.
🤔 WAN Optimization vs Competitors: How Do Ratings Compare?
Check out WAN Optimization AlternativesFrequently Asked Questions
How trustworthy is WAN Optimization?
According to Gartner and G2 review sites WAN Optimization holds ratings of 4.2/5 and 4.3/5 respectively from 30 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is WAN Optimization rated?
WAN Optimization has an average star rating of 4.2 out of 5 stars based on average of 30 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from WAN Optimization public reviews pages on platforms: G2, Gartner. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for WAN Optimization is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.