Large data volumes can have a negative impact on performance by increasing not only disk read/write access, but also network I/O. This is especially important given the increasing diversity of data sources, including those residing in the Cloud. Moreover, Big Data can easily drive storage costs to unsustainable levels. To alleviate these problems, organizations are increasingly leveraging compression tools.
Sorting data before compressing it can help increase compression ratios dramatically. However, underperforming sorting tools make this best practice expensive and unfeasible.
The high-performance and high-efficiency sorting technology of DMX allows organizations to sort all the data with minimum cost and overhead. The results are up to 10x greater compression ratios for even greater storage savings while still beating service level agreements (SLAs).