Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.
data processing performance. While analytics and BI make good use of in-memory database systems (IMDSs), IMDSs were not developed for this purpose. Database systems such as eX treme DB , VoltDB , solidDB by IBM , TimesTen by Oracle , and HANA by SAP are multipurpose in-memory databases created specifically to allow the running applications to achieve fast response times . As such, these systems have the potential to change the way organizations process and distinguish between transactional (operational)