What characteristic of NoSQL databases allows for high transaction rates?

NoSQL databases are designed to handle large volumes of data and support high transaction rates, primarily due to their architecture which often includes replicated databases over multiple servers. This characteristic enables distributed data storage, meaning that data can be stored across various servers, allowing for greater scalability and improved performance. When a transaction occurs, the system can leverage multiple servers to handle requests and distribute the load, effectively increasing throughput and reducing latency.

The ability to replicate data enhances fault tolerance and ensures that even if one server goes down, transactions can still be processed by remaining servers. This distributed nature allows NoSQL databases to efficiently manage high levels of read and write operations simultaneously, leading to better performance for applications that require quick data access and manipulation.

In contrast, complex data structures, data auditing mechanisms, and structured query language support do not inherently improve transaction rates in the same way. Complex data structures can add overhead, potentially slowing down processing, while data auditing mechanisms focus on data integrity and compliance rather than performance. Structured query language support is more characteristic of traditional relational databases, which are not optimized for the same kind of high transaction rates as NoSQL databases.