Leveraging DolphinDB's high-performance distributed computing architecture, these organizations have transformed their data services from batch-oriented, end-of-day processing to sub-millisecond real-time analytics. This enables the Market Data Center to evolve into a unified stream-batch platform for research, backtesting, and simulation—enhancing trading performance, accelerating alpha discovery, and strengthening enterprise risk management.

DolphinDB builds next-generationfactor development platforms with unified batch and stream processing. The results: •10× faster end-to-end workflows •Factor calculations in milliseconds , not minutes •Historical backtests 100× faster

In investment management, precision and transparency are now essential for institutional competitiveness. Facing challenges from massive heterogeneous data, complex P&L calculations, and real-time risk control, DolphinDB partnered with a leading securities firm to build a next-generation FICC intelligent risk and performance platform.

FinDreams Battery (BYD's battery manufacturing arm) just achieved a major breakthrough in real-time data analytics with DolphinDB.

For modern crypto quant firms, infrastructure is no longer a back-office concern—it has become a core competitive advantage.

DolphinDB 2.00.18 and 3.00.5 are now officially released!

This post covers the engine’s architecture, walks through matching examples with real L2 order book data, and presents performance benchmarks at scale.

To meet the industry’s demand for customizable high-frequency order books while reducing development costs, DolphinDB has introduced a high-performance order book engine with verified correctness, built on its expertise in high-performance stream computing and its close collaboration with financial clients.