Amid all the talk of cloud and hybrid data warehouse architectures, it’s easy to forget about the physical appliance that holds your data. Indeed, one major selling point of cloud architecture has been that you could ignore hardware and focus on capabilities. But that approach may no longer be sufficient to service the increasing demands of modern analytics.
In this report, Dr. Claudia Imhoff reviews the history of data warehouse appliances, from the early on-premises days to their modern use as part of an Extended Data Warehouse Architecture that is better suited for real-time analytics and cloud-based extensibility.
Dr. Imhoff also outlines the cases where a data warehouse appliance may be a good — or a bad — fit. For example, there are several areas where appliances may be advantageous, including:
- Total cost of ownership
- The need for future storage elasticity
- The need for multiple types of analytic insight
(descriptive, predictive, prescriptive)
- The use of built-in data management functions
For a more in-depth look at the uses for, advantages of, and differences between data warehouse appliances, read the full report today.