1

Algorithm Engine

QDBase provides more than 300 computation functions, including high-performance computing, in-memory calculations, external memory cursors, multi-threaded parallelism, and cluster computing, among others, meeting all the needs for structured data processing.

2

Storage Engine

Storage is the foundation of computation. QDBase offers binary file storage and supports both row-based and column-based storage methods. It also provides mechanisms like file indexing and double increasing segmentation, achieving higher performance while maintaining flexibility and openness.

3

Multi-Source Mixed Computing

QDBase's open system allows computation on data from different sources and supports hybrid computing. This not only preserves the advantages of data source diversity (since each type of data source has its own benefits), but also enhances the real-time nature of the data and the flexibility of the computation.

4

Parallel Framework

QDBase supports single-node multi-threaded parallel computing and multi-node distributed computing. Task decomposition and aggregation offer both automatic mechanisms and manual control, providing greater flexibility. Meanwhile, load balancing and fault tolerance mechanisms (redundancy fault tolerance and backup fault tolerance) ensure that resources are utilized effectively, enhancing system stability.

5

Agile Syntax

QDBase uses its own SPL (Structured Process Language) as a formal language, which is simpler than SQL, especially when expressing complex computations. SPL also supports procedural computing, enabling natural thinking to implement computational logic with the support of rich computation libraries. The simplicity of the language makes it easier to apply high-performance algorithms to improve computational performance, while also making modifications and maintenance more convenient.

6

Embedded Integration

QDBase can be embedded into applications as an in-application computation engine. This greatly enhances the flexibility of direct computation at the application end and often improves local computing performance. By utilizing SPL’s agility and high-performance characteristics, it can replace traditional hard-coding methods, providing strong computational capabilities for applications.

7

Data Solidification

QDBase provides the ability to solidify cold data into the file system. The data solidification process often involves complex data processing, which can be completed quickly using SPL, allowing more tasks to be accomplished within a fixed time window.

8

Real-time Data

Real-time data sources can be directly connected by QDBase without the need for external mapping. QDBase can directly read and use the data more efficiently. With the support of multi-source mixed computing, accessing real-time data enables easy T+0 queries, making it easier to maximize the value of the data.

JVM

JVM of JDK1.8 or above version

Operating System

Any operating system, including VM and Containers

Size

The full installation space is less than 600MB, and the core package is less than 15M, can run on Android smoothly

Resources

Resource consumption is far less than that of databases