Software defined storage (SDS) has the potential to revolutionize your business processes and drive extraordinary value. However, storage isn’t just measured by capacity. In our previous blog post, we laid out the example of thinking of your organization’s storage infrastructure like a virtual city: there are specific places designated for each type of data, from highly-utilized information to archives. Because of this, there is a true need for segmenting your resources; today, SDS is finally allocating true Automated Storage Tiering (AST) for enterprises. AST has created a natural and timely partnership with flash storage to offer the speed and performance that personal computing devices have enjoyed for years and many organizations are now considering all-flash based arrays to meet the demands of server virtualization.
There are a couple of reasons why organizations are slow to adopt software defined storage (SDS) when compared to its cousin, software defined networking (SDN). This is likely due to the concept of utilizing commoditized hardware. After all, if a switch goes down, it’s just a switch. If a RAID (Redundant Array of Independent Disks) goes beyond the point of degradation, it’s your own valuable data, which is why enterprises have been willing to pay such absorbent costs on proprietary disk array devices that boast enormous levels of redundancy. In addition, some of the terminology frequently used to describe various aspects of SDS can be confusing.
Organizations are currently faced with a cloud computing dilemma: should you use big data solutions or stick with the traditional data warehouse? If you choose the wrong platform to handle your company’s workload, you may find yourself shelling out hundreds or thousands of dollars in frivolous fees. Let’s take a look into what big data and the data warehouse can offer to help you determine which option is right for your organization.