Traditionally, businesses have built/used expensive and inflexible on-premise Data Warehousing and Data Lake solutions. Alongside the commonly known traditional, on-premises DW shortcomings (cost, inflexibility, outdated technology, performance issues), there are also inherent architectural issues.
Legacy data warehouse architectures contain physical limitations and complexities inherent to their design that prevent high levels of scalability and agility – adding new physical capacity is costly and disruptive.
On-premises environments often store files in their native format, which means a significant amount of effort is required to query and deliver insights from semi-structured data.
Simply moving a data platform to the cloud does not solve these challenges, as using the same DW platform on the cloud can just replicate the same physical scaling limitations in a cloud environment.
What is needed is completely new data platform and relational database management system that can deliver a dynamic infrastructure with instant, disruption-free, scalability and performance-as-a-service at any cloud scale, all at a fraction of the cost of traditional systems.