HPE BladeSystem vs HPE Synergy comparison

HPE BladeSystem and HPE Synergy are both competitors in the enterprise server market. HPE Synergy seems to have the upper hand due to its flexibility and advanced resource management capabilities, providing enhanced performance and centralized management that address modern infrastructure needs.

Features: HPE BladeSystem is recognized for its high reliability, strong iLO management, and compatibility with major network operating systems. Its modular design and minimal cabling add to its appeal. HPE Synergy offers composability, allowing seamless resource management and workload support. It also integrates enhanced storage and scalability through a unified approach with OneView management system, overcoming memory density issues found in BladeSystem.

Room for Improvement: HPE BladeSystem faces limitations with its chassis design, creating scalability issues and difficulties in integrating older hardware. There is a demand for more integrated management features and better backward compatibility. HPE Synergy struggles with the integration of third-party solutions, a complex setup process, and a high cost for additional options. Users seek improved firmware updates and better management of infrastructure complexity.

Ease of Deployment and Customer Service: Both BladeSystem and Synergy support on-premises deployments suited for enterprise environments. BladeSystem receives mixed reviews on customer service, showing effective support through escalations but issues at initial levels. HPE Synergy is praised for its responsive support and fast hardware replacements, although complex issues sometimes result in slower responses.

Pricing and ROI: HPE BladeSystem is pricey, justified by its performance and durability, with users finding its investment potential valuable despite competitive pricing pressures. Accurate solution sizing is emphasized for cost management. HPE Synergy has a higher upfront cost but promises significant operational savings and reduced infrastructure costs, resulting in a strong ROI thanks to its advanced capabilities and resource optimization.