Distributed Data Engine
The Distributed Data Engine is designed to address key inefficiencies when executing data applications, providing significantly higher performance at lower TCO on scale-out architecture, but without requiring software changes while supporting operational features (e.g., business continuity, and performance monitoring).
The Engine does this by enabling a decoupling of the data and application layers, simultaneously acting as an I/O accelerator to resolve any bottlenecks. Large volumes of transactions are processed by the engine's unique proprietary architecture that attaches storage class memory directly to a low latency network stack.