Acceleration in version 7.0

Prior to and along with the release of version 7.0, Splunk posted material that touted "optimizations to core search technology," promising decreases in the time and resources required to run data model accelerations as well as accelerated searches with faster search and DMA performance.

From reported experiences, Splunk Enterprise users appear to be constantly gaining threefold improvements on their data model acceleration time.

Splunk indicates that version 7.0 uses supplementary parallelization to convert sequential processing into multi-threaded processing in order to utilize multiple processors simultaneously in a shared-memory. And it uses improved refactored techniques to improve search performance for some types of searches or (at minimal) achieve the same performance using one-third of the previously required resources.

To be clear, these improvements were mostly reported when moving from version 5.0, and, for those environments, these gains make the upgrade worthwhile as the same hardware can gain significant performance improvements and/or reduce the footprint required.