DolphinDB offers a unified platform for data warehouse, analytics, and streaming workloads. At its core, it is a high-performance distributed time-series database. With a fully featured programming language, more than 2,000 built-in functions, and a suite of stream computing engines, DolphinDB enables rapid development of high-performance applications for mission-critical tasks in global financial institutions.
Distributed storage supports online/offline scaling, high availability, flexible backups, async replication, and enhances fault tolerance and scalability.
DolphinDB supports diverse programming paradigms, including SQL-92, asof joins, DFS table joins, pivot tables, and Python pandas-like syntax.
Stream tables for real-time data, multi-engine stream computing with sub-millisecond latency, replay capabilities, and unified stream/batch processing.
