The tough choice of NoSQL vs SQL. An important decision for any business that may pay the price for down the road if you don't plan accordingly. Here, we break down the important distinctions and discuss NoSQL vs SQL for you to make an informed decision.
NoSQL or Not Only SQL is an alternative to relational databases such as MySQL, Postgres, and SQL Server. Typically NoSQL databases are popular for working with large sets of data as data is stored in the form of flat collections so reading or writing operations is much faster. There is also less management for NoSQL databases as they support automatic repair, data distribution, and simpler data models.
MongoDB, Couchbase, and Cassandra are popular NoSQL databases, but what do their queries look like? If NoSQL is all about leaving SQL behind, then what happens? These are fair questions, for example MongoDB uses its own syntax that kind of resembles JavaScript. Let’s take a look:
db.inventory.find( { status: "D" } )
In the above query the example selects from the inventory collection all documents where the status equals "D". It is not too difficult to follow, but does feel a little foreign if you are used to SQL.
SQL or Structured Query Language is a language used in programming and designed for managing data held in a relational database management system. Some examples of popular SQL databases are Postgres, Microsoft SQL Server and MySQL. One of many reasons for its popularity is how portable it is. SQL can be used in the program in PCs, servers, laptops, and even some of the mobile phones. Unlike NoSQL databases, SQL databases have an established, well defined standard. The language is also very straightforward, let’s take a look at it:
SELECT * FROM inventory WHERE status = "D"
In the above query the example selects from the inventory collection all documents where the status equals "D". Sound familiar? That is because it is doing the same thing the MongoDB query is doing.
Related reading: How to Connect to a MySQL Database with JavaScript
This all depends on what your goals are. SQL databases tend to be beneficial for companies that have a clear business structure and do not plan on making many changes to their database structure. If your company has rapid growth or no clear schema definitions then a NoSQL database is the right choice for you. If you’re uncertain about which type of database is best for your business, you can schedule a consultation with one of our experts today.
What if you want to use a SQL database but not learn SQL or the opposite, use a NoSQL database without learning how to handle the data? That is where DreamFactory comes into play, interact with your data without having to learn SQL. In minutes generate an API from nearly any datasource that is fully documented and secure without code. Contact an expert today to learn how to cut development cost and time in half.