MPP (Massive Parallel Processing) means massive parallel processing. In the database non-shared cluster, each node has an independent disk storage system and memory system, and business data is divided into each node according to the database model and application characteristics. Each data node is connected with each other through a private network or a commercial general network, and cooperates with each other as a whole to provide database services. Non-shared database cluster has the advantages of complete scalability, high availability, high performance, excellent cost performance and resource sharing. Simply put, MPP is to assign tasks to multiple servers and nodes in parallel, and after completing the calculation on each node, summarize the results of their respective parts to get the final result (similar to Hadoop).

It is a server system from the user's point of view, which is connected by multiple SMP servers through a certain node interconnection network, working together to complete the same task. Its basic feature is that multiple SMP servers (each SMP server is called a node) are connected through the node internet, and each node only accesses its own local resources (memory, storage, etc.). ). It is a completely unshared structure, so it has the best scalability. Theoretically, its expansion is infinite.

MPPDB is a distributed parallel structured database cluster without shared architecture, which has the characteristics of high performance, high availability and high scalability. It can provide a cost-effective general computing platform for ultra-large-scale data management, and is widely used to support various data warehouse systems, BI systems and decision support systems. MPP adopts MPP+ fully parallel distributed flat architecture without sharing. In this architecture, each node is independent, self-sufficient and peer-to-peer, and there is no single-point bottleneck in the whole system, which is very scalable.