Introducing DolphinDB: Unified platform for data warehouse, analytics and streaming workloads

DolphinDB will offer its eponymous DolphinDB platform: a unified platform for data warehouse, analytics, and streaming workloads. With a fully featured programming language, more than 2,000 built-in functions, and a suite of stream computing engines, DolphinDB enables the rapid development of high-performance applications for mission-critical tasks in financial institutions.

Users can leverage DolphinDB for a multitude of tasks, including real-time data processing and analytics, utilizing its in-memory and hybrid storage engines for high-speed access to vast datasets. They can perform complex computing within the database, manage data with flexible partitioning schemes, and develop applications using DolphinDB's scripts. They can also create and manage tables, execute scheduled tasks, and integrate with various programming environments through the software’s extensive APIs.

Some of DolphinDB’s key features and benefits include:

• High-Performance Computing: DolphinDB is 10-100x faster than traditional solutions and features streamlined in-database analytics.
• Extensive Function Library: Offers 2,000+ built-in functions to handle complex analytical tasks.
• Multi-Paradigm Programming: Enables rapid development with various programming paradigms – imperative, vectorized, functional, SQL, and more.
• Streaming Engines: More than 10 out-of-the-box streaming engines for real-time processing, which can also be pipelined for computing tasks with complex logic.
• Unified Batch and Stream Processing: Both batch and stream processing can use the same metric expression, slashing development costs.
• Ultra-Low Latency: Blazing fast in-stream processing with incremental computing, parallel computing, and JIT compilation.