![]() ![]() ![]() ![]() But by the late 2000s, on the back of Moore’s Law, those costs had plummeted, and developers’ fees were instead topping cost lists.īack then, social media and digital networking were skyrocketing in popularity, companies were inundated with mounds of raw data, and programmers were adopting the Agile Manifesto, which stressed the importance of responding to change instead of remaining slaves to procedural protocol. A Brief History of NoSQLīack in the second half of the 20th century, when digital computing was still in its infancy, relatively speaking, data storage was one of the most expensive aspects of maintaining data sets. It’s not a perfect analogy, but the technological gist falls into the same category. Thanks to remote access memory, however, when streaming digital music, you can just press or click to play a song - even though all the parts making up the file may be scattered. To play a song on a vinyl album, you must physically move the needle on the turntable to access the “track” you want because the record was pressed ahead of time, and that’s where the desired “files” reside. What? Can You Please Explain in Non-Tech Talk?ĭoes this all sound like Greek to you? If so, think of SQL and NoSQL as vinyl records and digital music streaming, respectively. Plus, other folks may argue that relationship modeling is more manageable in the NoSQL environment because data isn’t parsed between multiple tables. Nonrelational databases can handle relationship data it’s just done differently. Some people insist that NoSQL databases are sub-par when it comes to storing relational data. “Nonrelational database” is also interchangeable with “NoSQL database.” Programmers developed the language in the mid-2000s alongside the widespread adoption of new information trends. NoSQL stands for “not only SQL” to signify that it accommodates various data access and management models. Increasingly, they’re the optimal choice when ease of development, scaled performance, speed, and functionality are central operating concerns. Non-tabular NoSQL databases are built on flexible schemas, with nested data structures, to accommodate modern applications and high user loads. ![]()
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