The adoption of high-definition cameras, increasing device connectivity, and the shift from analog to IP technologies are causing complex stores of video surveillance data to expand at an exponential pace. As the costs and complexity of video surveillance storage architectures grow at the same rate as the data itself, organizations are seeking new ways to intelligently store and manage these rising data volumes. However, many organizations struggle to adapt to the evolving storage requirements associated with exploding data volumes, advancing camera technologies, and an expanding number of cutting-edge use cases.