At the core of HDCA is an efficient key-value data repository and analytics engine that provides the foundation to conduct historical performance trend analysis across an infrastructure spanning many years. You can define performance baselines to track and compare historical with current storage performance to quickly identify performance bottlenecks. This analysis can be further leveraged to appropriately plan for future capacity and performance requirements or to determine if a future capacity expansion is necessary.

With support for Hitachi, EMC, NetApp and IBM storage systems, Hitachi Data Center Analytics enables the establishment of a common storage analytics reporting solution for your heterogeneous storage environment. This capability to support multi-vendor storage systems eliminates the need to use vendor-specific monitoring tools for performance management and reporting. Storage analytics can be conducted across a multivendor storage environment, independently. Because of this HDCA can identify actual performance problems instead of trying to juggle different vendor-specific performance reports or terms.

Performance issues are often related to recent configuration changes or to shared resources that become overtaxed or in contention. HDCA provides the correlation required to determine all related and dependent resources that can be affecting the bottleneck so these dependent resources can be further drilled down and investigated.