DolphinDB

About DolphinDB

DolphinDB is the core product of Zhejiang Zhiyu Technology Co., Ltd., a company founded in 2016 by several PhDs who had been working in the United States. The company, headquartered in Hangzhou with a subsidiary in New Jersey, was established to develop a new generation of high-performance distributed time-series databases. The CEO is Xiaohua Zhou. The development of DolphinDB was led by a team of Wall Street veterans, and it was purposefully built for quantitative finance use cases. Since its founding, the company has secured multiple funding rounds, including a Series A in January 2021 and a Series B in December 2021, raising a total of approximately $15.7 million.

The firm's primary offering is a high-performance, distributed time-series database designed for the rapid storage, retrieval, and analysis of large-scale structured data. It operates as a one-stop solution by integrating a database with a powerful programming language and a real-time streaming data system. This architecture enables it to serve clients in sectors with demanding data requirements, such as quantitative finance, industrial Internet of Things (IoT), and manufacturing. The business model centers on providing this comprehensive data management and analytics system, which reduces the total cost of ownership for clients by eliminating the need to combine multiple systems from different vendors. The platform supports deployment on-premise or in the cloud, in Linux or Windows environments, and on a single node or in a cluster.

The DolphinDB platform is a comprehensive system for real-time analytics and stream processing. It features a distributed architecture with a distributed file system and various scaling options to ensure high availability and fault tolerance. The system supports multiple storage engines, including TSDB for time-series data, OLAP, and an in-memory database, to cater to different scenarios. A key feature is its integrated programming language that supports vectorized programming, functional programming, and standard SQL, alongside a library of over 1,500 built-in functions. This allows for complex data analysis to be performed directly within the database. For stream processing, DolphinDB includes over 10 streaming engines and supports a publish-subscribe system, enabling real-time calculations with low latency. The platform also offers extensive connectivity through APIs for languages like Python, C++, and Java, as well as various plugins for data access and integration with other systems.