To keep costs down, hard disk drive was the storage of choice for the data that drives a big data analytics project inside the server that is doing the processing. Internal storage keeps costs down and reduces network latency but it increases storage management costs. As a result many analytics environments moved toward a shared storage environment using an advanced file system or object store. These shared systems, however, have a focus of keeping costs down and by using hard disks. Now, enterprises are looking at all-flash arrays to not only improve processing performance but to also increase storage density. In this StorageShort we discuss why storing analytics data makes more sense than ever.