Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and web site interaction data are all being collected and analyzed. In addition, as IT budgets are already being pressured down, Big Data footprints are getting larger and posing a huge storage challenge.
Big Data is now considered production data, so availability, recoverability and performance are just as important as for the transactional systems within the organization. And as stated before, the trend is for IT budgets to get smaller, not bigger. These diametrically opposed forces are creating a change in the storage industry. How can you do more with less while taking into account that you also don’t want to compromise on system and application reliability, efficiency or performance?
The demands that Big Data and analytic workloads place on enterprise storage can be summed up as follows:
This is where a new storage architecture is needed. INFINIDAT’s storage architecture meets all of these needs and does so at an attractively disruptive price point.
To learn more about INFINIDAT Big Data solutions please download the Big Data solution brief.Download Solution Brief