MPP vs SMP Databases

MPP (Massively Parallel Processing) vs SMP (Symmetric Multiprocessing) Databases

MPP Databases:

Architecture:

• Massively Parallel Processing (MPP): Uses many independent processors (nodes) that work on parts of a task concurrently, each with its own memory and disk.
• Distributed System: Each node in an MPP system operates independently, with its own memory, CPU, and storage. This architecture allows parallel execution of complex queries by breaking them down into smaller sub-queries and distributing them across multiple nodes.
• Data Distribution: Data is sharded or distributed across nodes, ensuring that processing power and storage are used efficiently. This minimizes bottlenecks and enables horizontal scaling.
• Fault Tolerance: MPP systems often have built-in fault tolerance; if one node fails, others can continue processing without interruption

When to Use:

• For very large datasets and complex queries requiring high performance.
• Ideal for data warehousing and big data analytics.