NoSQL Databases have four distinct types. Key-value stores, document-stores, graph databases, and column-oriented databases. In this article, we’ll explore column-oriented databases, also known simply as “NoSQL columns”. If you are still wondering about it then this article is for you.
NoSQL has become increasingly popular as a complementary tool to traditional SQL approaches to databases and database management. As we know, NoSQL doesn’t follow the same relational model that SQL does, which allows it to do quite a lot of powerful things. More importantly, it’s very flexible and scalable, which is excellent for newer projects that don’t have the time or budget to spend on designing an SQL database.
As such, we’re going to take a bit of a deeper look at how different data models work, with this article taking a look at column databases. If you’d like to take a more general look, you should check out our NoSQL for Beginners guide.
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NoSQL databases use a variety of data models for accessing and managing data. These types of databases are optimized specifically for applications that require large data volume, low latency, and flexible data models, which are achieved by relaxing some of the data consistency restrictions of other databases.
Key-Value Databases, Explained. Do you know yet? Let's explore it with us now.
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