Slashdot Mirror
Replacing Traditional Storage, Databases With In-Memory Analytics
storagedude writes "Traditional databases and storage networks, even those sporting high-speed solid state drives, don't offer enough performance for the real-time analytics craze sweeping corporations, giving rise to in-memory analytics, or data mining performed in memory without the limitations of the traditional data path. The end result could be that storage and databases get pushed to the periphery of data centers and in-memory analytics becomes the new critical IT infrastructure. From the article: 'With big vendors like Microsoft and SAP buying into in-memory analytics to solve Big Data challenges, the big question for IT is what this trend will mean for the traditional data center infrastructure. Will storage, even flash drives, be needed in the future, given the requirement for real-time data analysis and current trends in design for real-time data analytics? Or will storage move from the heart of data centers and become merely a means of backup and recovery for critical real-time apps?'"
Yep, the article is 10-20 years out of date.
HFT has been using statistical synchronization of dbs for years.
Big financial shops switched to in-memory dbs decades ago. With co-lo on the compute farms.
I don't know why he's even talking about 32G boxes as servers. That's a desktop, real db hosts are an order of magnitude bigger.
His "push the disks to the edge of the network?" Um, that's already happened - it's called tier 2. Tier 1 is the terabytes of solid-state storage we keep just in case.
This is a blast from the 1990s.