DolphinDB is committed to providing users worldwide with cutting-edge real-time analytics platforms. Our flagship product, 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, over 2000 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. 

DolphinDB has the following key features:
Distributed Architecture: Distributed storage, supports online/offline scaling, high availability, flexible backups, async replication, enhances fault tolerance & scalability.

Multi-Model Storage Engine: OLAP, TSDB, OLTP engines optimize diverse queries. ACID/MVCC ensure consistency. Lossless compression and tiered storage enhance efficiency and availability.

Multi-paradigm Programming: Supports diverse programming paradigms, SQL-92, asof joins, DFS table joins, pivot tables, and Python pandas-like syntax.

Streaming Data Processing: Stream tables for real-time data, sub-millisecond latency, multi-engine stream computing, replay, and unified stream/batch processing.