Traditional observability data management systems struggle with tiering complexities, high storage operation overheads, and delayed access to critical data. Organizations need real-time visibility into their operational, machine, and observability data for faster decision-making, but conventional solutions create bottlenecks that slow down analysis and increase costs. Teams often face challenges accessing both master data and optimized data seamlessly, limiting their ability to make accurate and informed decisions when it matters most.