Big data analytics is the cornerstone of providing real-time insights for a business. Traditional technologies neither scale effectively nor provide the needed performance on large datasets. New data storage technologies that provide massive scale do not provide real-time processing for analytics. To address speed, some vendors are enabling databases to be put into memory, but the cost of these databases at massive scale is prohibitive.
Read this paper to see how these challenges can be overcome with a real-time analytics database designed and optimised for the speed of big data queries, combined with the high velocity of incoming new data, running on commodity hardware.