![]() ![]() When you have large amounts of unstructured data.However, NoSQL absolutely has its use cases. It is a well-documented database system with plenty of support to be found online. Its flexible query language makes it easy to find information, its constraints keep your data clean, and its relational data model allows you to connect separate SQL databases. That's the main benefit of a NoSQL database: it's extremely performant and highly scalable in comparison with an SQL database. Sometimes, you don't even have to do anything The vendor will do it for you. There's a reason these types of NoSQL databases are popular with social media companies.ĭifferent from an SQL database, NoSQL databases can easily scale horizontally. Two NoSQL database services that use this document structure are MongoDB and DynamoDB.Īnother way to organize data in a NoSQL database is with a graph, where all data points are intricately connected. ![]() A NoSQL database is most commonly a document that you can easily add new data to without having to worry about structure or constraints. That's why NoSQL is sometimes referred to as Not Only SQL, because it can support SQL-like structures and queries in some scenarios.īut the underlying thread that connects all NoSQL implementations is non-relational data, or data that isn't particularly structured. NoSQL is actually an umbrella term that covers many different ways of organizing data, including organizing it in a table structure like you would a regular SQL database. While it is possible to scale an SQL database horizontally, by sharding or partitioning the database, it's not nearly as easy as scaling things up vertically. Chuck in more RAM, storage, and CPUs to improve the performance of an SQL database. by upgrading the machine that hosts the data. SQL is most easily scaled vertically, i.e. This means that completed transactions are held in non-volatile memory. Power failures, crashes, or anything of the like will not revert the state of the database.
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