Users report that F5 NGINX excels in performance and reliability, achieving a score of 9.5, which reviewers attribute to its robust load balancing and server clustering capabilities. In contrast, Azure SignalR Service, while effective, does not match this level of performance, scoring lower in this area.
Reviewers mention that F5 NGINX offers superior logging and reporting features, with a score of 9.3, allowing for detailed insights into application performance. Azure SignalR Service, however, lacks the same depth in logging capabilities, which users find limiting for troubleshooting.
G2 users highlight that F5 NGINX provides excellent security features, particularly in SSL/TLS processing, scoring 9.0. Users appreciate the comprehensive website protection and infrastructure protection, while Azure SignalR Service, scoring lower in these areas, is seen as less robust in security measures.
Users on G2 report that F5 NGINX has a more complex setup process, reflected in its ease of setup score of 8.3, compared to Azure SignalR Service's higher score of 8.8, indicating a more user-friendly experience for new users.
Reviewers say that F5 NGINX shines in its API and integrations, scoring 8.0, which is crucial for users looking to connect with various web-based frameworks. Azure SignalR Service, while offering integrations, does not provide the same level of extensibility, which some users find limiting.
Users report that F5 NGINX has a strong focus on microservices development, scoring 9.2, making it a preferred choice for organizations adopting modern architectures. Azure SignalR Service, while capable, does not emphasize this aspect as strongly, leading some users to prefer F5 NGINX for their microservices needs.
Pricing
Entry-Level Pricing
Azure SignalR Service
No pricing available
F5 NGINX
NGINX Plus, Single Instance
Starting at $2500
per year
24/7 Enterprise support with 30-minute SLA is available, for $5,000/year per instance.
We also provide Basic support for $2,500/year and Professional support for $3,500/year for less-critical deployments.
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