That is, if you expect to want to know the details for a user account, then all the user data can be retrieved by reading that user’s record. Instead of writing a complex query, many use a single value-a key, a timestamp, a document-and pull data stored under that value. Many types of NoSQL databases are designed for fast data lookups. There’s little to no searching it just gives you the user data. A NoSQL database is great for finding one piece of data quickly and operating on it. An SQL, or relational database, is excellent for data processing-creating granular connections between pieces of data. The benefit of this is that you can easily replicate the database across multiple devices, ensuring the ability to scale and replicate.įurther, a NoSQL database allows for fast access to lots of data. Instead of, say, a table for user IDs and then a table for addresses, NoSQL lets you create a generalized user object that holds everything important about those users. A single domain entity might be fragmented or normalized across multiple tables, which means the overhead necessary to ensure a record is accurate can be immense. Traditional SQL uses related tables connected by IDs. Understanding NoSQL databases takes a minute of comprehension. The commonality between all of them, though, is that no matter what format they store data in, these databases don’t support relations between data. Some of them even store in a table format.
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