Some limitations of traditional data storage methods include issues related to scalability, data accessibility, and cost. On-premises storage solutions often struggle to accommodate large volumes of data due to physical space constraints and hardware limitations. Additionally, traditional methods may require significant investment in infrastructure and maintenance. Accessing data from disparate sources can also pose challenges, leading to inefficiencies and delays. Furthermore, as the demand for real-time data analysis grows, traditional storage may not provide the speed and flexibility required for modern applications and business needs.