Data sprawl is a problem. Most companies, regardless of industry or size, are trying to balance their need to store increasing volumes of data with the associated costs to their infrastructure.\nIDC expects continued growth in data, with an estimate that the world will generate 163 zettabytes by 2025. The massive build up is being driven by technologies including machine learning, AI, IoT, video streaming, and augmented and virtual reality. Add digital transformation efforts into the mix and the requirements for data storage become even greater.\nThe straightforward answer is to the data sprawl problem is to add capacity. But that option is often made untenable by variables such as costs, next-generation workloads, increased amounts of unstructured data, and growth of the business and its locations.\nThat\u2019s why companies are demanding scale-out solutions \u2014 and are already seeing significant business value with software-defined, object-based storage.\nScale up versus scale out\nTraditional block and file storage systems enable companies to scale up by adding more RAM, processors, and disks to servers. Often called vertical scaling, this strategy typically maximizes existing hardware. However, as more resources are added, server performance problems may crop up \u2014 slower processing times or backup and recovery functions.\nOn the other hand, scale-out strategies, or horizontal scaling, blend hardware and software to provide better storage management, greater flexibility, and less physical space. This approach lets organizations more effectively manage unstructured and archived data than block and file systems. The key factor is the software element, which efficiently stores, manages, and delivers data for the underlying storage hardware.\nThe benefits of object-based, software-defined storage\nIDC recently conducted a series of interviews with organizations that have leveraged this type of solution \u2014 specifically HPE Scality. The participants had an average company size of 24,000 employees, in a mix of industries in the United States and EMEA.\nBased on the information gathered, IDC estimates these companies are achieving an average value of $898,970 per petabyte per year over three years. This value is broken down as:\n\nReducing IT infrastructure costs by adopting the software-defined, object-based model\nReducing IT staff time to manage and support the storage environment\nReducing risk of downtime\n\nOne participant said: \u201cHPE Scality has saved us at least 33% in storage costs because we have not had to add storage in three years and would likely have had to do it at least once with the older system.\u201d\nThese savings also improve productivity and create new efficiencies. Being able to easily scale out lets organizations better address data-intense workloads, furthering their digital transformation efforts while better adapting to emerging technologies.\nHPE scales out\nHPE has become a frontrunner with scale-out storage solutions. To ensure customers find the best fit, the company has developed partnerships with leading software-defined storage providers including Scality RING and Qumulo. No matter the company size, HPE\u2019s solutions enable organizations to scale out with high-performance levels, visibility, flexibility, durability, and control.\u00a0\nFind out more: Watch this webcast about the recent trends driving companies to demand scale-out storage solutions, as well as real-world examples of organizations that have adopted software-defined object storage to manage their data growth.