![]() This allows you to freely upload new data types without having to know what ‘type’ the data will be when you first set up the database. On a broader scale, NoSQL databases are better for data that has relatively little structure, but will also have new types of data added on a regular basis. This requires locking down the tables until the data fields are updated, which can lead to a potentially lengthy period of downtime. However, if you wanted to do the same thing in an SQL database, you would need to reformat and restructure the database to allow for the new fields. ![]() Continuing with our previous example, if one of the comments on a post includes a photo, or an added description, all you would have to do in a NoSQL database is add a new field to the document in question to cover the new data type. In short, NoSQL databases tend to offer more flexibility in how they collect and display data. A NoSQL ‘document’ for a post would likely be written in JSON (JavaScript object notation) and might look something like this: Each document would hold non-relational data about that specific post, and therefor show within the document who the user is, which users liked the post, which users commented on the post, and what the comment said. These tables are all linked, so to see which ‘user’ ‘liked’ which ‘post’ you use what's known as a JOIN clauses to collate related data between the tables and bring it all together in a new table.įor NoSQL databases however, the social media site would have to create a document for each post. In an SQL database, the data for these elements would be stored in individual tables. To provide an example, take the basic structure of a social media site and its core elements: the ability to post, host users, leave comments, and like content. Thus, the main difference between SQL and NoSQL databases is the way in which they structure data.Īn SQL (relational) database will store data in tables made up of columns and rows, whereas a NoSQL (non-relational) database stores data via the use of documents. SQL stands for Structured Query Language and is used for defining and manipulating data inside of a database. However, in order to explain the differences between MongoDB vs PostgreSQL, we must first explain the differences between SQL and NoSQL databases. So, in order to explore the other database options that might be more suited to your business, we're now going to compare MongoDB vs PostgreSQL. These database management systems are two of the most popular relational databases currently available, but they're not the only ones on the market. In one of our previous articles, we compared and discussed the differences and similarities between the database management systems MariaDB and MySQL.
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