Abstract
Fast data that needs to be analyzed for business value often resides on Flash storage managed by a database. As businesses accumulate petabytes of data tracking their customer's every move, optimizing how database queries begins with how the data is stored, and what tools are used to quickly and accurately process the maximum amount of data in the minimum amount of time. Computational Storage has emerged as the leading solution to cohesively unlock both storage I/O and compute related bottlenecks, specifically in database functions that demand massive data movement and intense compute such as full table scans query requests. This presentation will review how modern Computational Storage easily integrates into database infrastructure at the application/API level. It will also present real-world benefits of reduced time-to-insight through specifically saving data movement for query processing by bringing this compute function directly to the storage drive.