What does inline data reduction primarily aim to achieve?

Inline data reduction primarily aims to achieve improved efficiency and cost savings by minimizing the amount of data that needs to be stored and processed. This process involves analyzing and compressing data as it is being written to storage, effectively reducing the size of the data before it takes up space. As a result, organizations can significantly lower storage costs because they require less physical storage capacity. Additionally, reduced data sizes can lead to faster data processing and better performance, as there is less data to transfer and manage.

While other options such as data longevity, enhanced data recovery, and increased system compatibility may be important aspects of data management, they do not directly align with the primary goal of inline data reduction. The focus of inline data reduction is rooted in achieving efficiency in storage utilization and financial savings, making it an essential strategy for organizations looking to optimize their data handling processes.