NoSQL WILL BE COMPLEMENTED BY SQL
Finally, we expect to see NoSQL use SQL as its dominant query language. The rise of the aforementioned trends of Big Data, IoT, and cloud computing, has caused NoSQL databases, such as MarkLogic and MongoDB, to gain popularity in many fast-moving technology sectors.
NoSQL databases provide these enterprises a level of flexibility and scalability imperative for the increasing amounts of unstructured and semi-structured data being proffered. Many NoSQL databases allow developers to move fast because they do not require as much architectural forethought as a relational, SQL-based database. Being well-versed in NoSQL platforms will be a useful and employable skillset moving forward in the world of data management, as NoSQL will indubitably maintain a solid position in the marketplace.
Nevertheless, despite NoSQL’s unique advantages, namely flexibility and scalability, as compared to SQL databases, they do not come without a set of accompanying disadvantages. In particular, NoSQL lacks an effective query language. While many NoSQL databases each use their own special purpose query languages, there remains no comprehensive and effective language across the board. Despite NoSQL’s practicalities in the modern era of Big Data, as Timothy Stephan shrewdly puts it, “really, how useful is big data if you can’t effectively query it? And how powerful and dynamic can your application on NoSQL be if they can’t easily access and utilize the data?” With this in mind, to become most efficient, NoSQL desperately needs an effective query language. Seeing as SQL is a long-standing, tried-and-true, and well-known language, it will become the dominant query language for NoSQL. Thus, NoSQL platforms will be increasingly known as “not only SQL” instead of the traditional “noSQL” or “nonSQL.”
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