AWS has over 300 hundred services, and a flexible pricing scheme, making it a top choice for any company or business looking to enhance their projects with cloud technology. Among its plethora of services, AWS can accommodate databases of almost any kind, so it’s almost natural to wonder: what are the benefits and limitations of SQL and NoSQL databases offered through AWS?
What’s a database and why does it matter?
Let’s start small. A database is a set of data job function email list that is held by a computer. That can be accessed, expanded, or manipulated. Much like a library. A database has to have some kind of organization so it can be used efficiently. A database is where all the information used by the software is stored. Almost every software needs a database. A place where information can be stored or retrieved.
Relational Databases
Much like a spreadsheet, a table can have any the digital marketplace has brought companies number of columns and rows, with each cell containing data. So, for example, we can have a table where each row is a user and each column a piece of information about that user (name, address, email, age, gender, and so on). For example, if we have a table with transactions we can link each row of that table to the user who did the transaction. That way we only need to have one entry for the user regardless of how many transactions they have done in the past.
Non-relational databases
Relational databases have been the dominating paradigm in software development since their inception, but they are not perfect. That’s because data isn’t tabular in the real world and that poses a problem. For complex, massive, and unstructured data, building a model that accurately represents it can be challenging.
Non-relational databases (NoSQL) take gambling data a different approach to store data. One of the common examples is saving information as a key-value pair or as graph data. The idea is that a more unstructured and less restrictive model is easier to manipulate and to scale as needed.
As such, non-relational databases have grown exponentially in the last few years, and are becoming a trend in data science.
