Sonebraker began his research by describing different types of NoSQL technology and differences among those when compared to relational technology.
Several dozen of those customers have moved either all or parts of their application off relational technology such as what Oracle provides.
Relational technology is known for its robustness, but many questions still arise when such a topic is discussed in the context of NoSQL [4].
Regardless of the underlying physical layer, relational technology or proprietary multidimensional structures, the conceptual model adopted is a data warehouse consisting of facts (or measures) organized into a set of dimensions, which in turn are organized into levels of different aggregation (that is, detail) that comprise one or more hierarchies.
The point is not to give Apple a good drubbing (for it can be argued that Apple is the most relational technology going and that Jobs was inspired by Renaissance humanism); but as an icon of the digital age, the Apple phenomenon perfectly represents our misdiagnosed and misconstrued ideas about the relationship between religion and spirituality.
Existing approaches like Hecuba [4], Model2Roo [24] provide tools and interfaces, to ensure an efficient and global interaction with non-relational technologies.
Ashram and Anderson [7] studied the data model of Twitter and found that using non-relational technology creates additional difficulties on the programmers' side.
We also presented the state of the art of non-relational technology by describing some of the most relevant studies and performance tests and their conclusions, after surveying a vast number of publications since NoSQL's birth.
However, recently some vendors such as Splunk [74] have adopted relational database technologies in order to better address Big Data challenges.
The phasor data from PMU's will be accumulated in peta-bytes in coming years, which exceeds the capability of conventional relational database technologies.
For example, commercial SIEMs that use relational database technologies for their storage repositories will find the databases becoming bottlenecks in deployments at larger enterprises: storage and retrieval of data begins to take longer than is acceptable.
