FortiCache [EOL] vs Steelhead comparison

Today’s bandwidth requirements are out of control, consuming capacity as soon as it’s available. As users shift to mobile access and the volume of interactive and video content dramatically increases, it seems hard to keep up without adding a lot of expensive bandwidth. However, by reducing bandwidth demands and optimizing and accelerating the network, FortiCache caching appliances let you keep up with explosive bandwidth demand while delivering higher quality of service.

Steelhead is designed to optimize WAN performance by reducing data load and enhancing network efficiency. It utilizes advanced data compression and caching techniques to improve speeds and manage bandwidth, crucial for cost reduction.

Steelhead offers enhancements in data throughput and network optimization with its ability to improve TCP and WAN efficiency. Organizations benefit from scalable data referencing and adaptive transfer schemes that simulate LAN-like speeds over WAN. Its monitoring features provide insights into network dynamics, although potential improvements are noted in areas like QoS configuration and handling encrypted traffic. Users also recognize challenges in upgrading, GUI design, and monitoring tools.

• Data Compression: Reduces data size for efficient WAN usage.
• WAN Optimization: Enhances network speed and lowers costs.
• TCP Optimization: Improves data flow over WAN connections.
• Scalable Data Referencing: Encourages efficient data transfers.
• Real-Time Monitoring: Offers insights into network performance.
• Local Caching: Stores data locally to speed up access.
• QoS Management: Prioritizes critical traffic effectively.

• Cost Reduction: Decreases expenses related to bandwidth usage.
• Improved Network Performance: Enhances application and data transfer speeds.
• Bandwidth Management: Allows prioritization for critical tasks.
• Reduced Latency: Mitigates delay issues in data transmission.

Steelhead is widely used in industries like banking and distribution for optimizing traffic between data centers and ensuring efficient branch connectivity. It addresses latency problems, boosts application performance, and helps reduce data traffic. In environments with limited bandwidth, its features ensure critical data is prioritized, creating significant cost savings.