DolphinDB
| Initial release | 2016 |
|---|---|
| Stable release | 0.7
|
| Written in | C++ |
| Engine | |
| Operating system | Linux, Windows |
| Type | Time series database |
| License | Proprietary |
| Website | dolphindb.com |
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DolphinDB is a high performance time series database. It is written in C++ and optimized for fast injection, storage, retrieval and analysis of time series data in fields such as quantitative finance, Internet of Things, real-time analytics, etc.
DolphinDB runs extremely fast. It is also easy to use as the syntax of the programming language of DolphinDB is similar to SQL and Python.
Technical overview[edit]
DolphinDB has no external dependencies. DolphinDB integrates a distributed database, a distributed computing engine and a fully-featured programming language. The one-stop solution enables in-database analytics and rapid development. DolphinDB can deliver millisecond query response time and sub-millisecond real-time message latency.
The programming language of DolphinDB offers hybrid programming paradigms (imperative, functional, vector, SQL, and RPC, and meta programming). It has numerous built-in optimized time series functionalities such as window functions, asof join, window join, rollup, pivoting, etc.
DolphinDB supports hash, value, range, list and composite partitions. A single table supports millions of partitions and petabyte-scale data.
DolphinDB offers linear scalability and fault-tolerance on commodity hardware, and high availability on both name nodes and data nodes.
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