Different Types of Databases
The most common database management system is the relational type. It takes up the largest share of the market. In fact, most beginners are only aware of them. The truth is that there are different types of databases that represent a different means of handling data storage. Knowing their distinctions and selling points is vital for ensuring you make the right choice. Ideally, there are some types of databases that do not utilize the relational model. Taking into account your choice, you can store the data as key-value pairs, column families, and graphs.
Document-oriented Databases
Usually, document-oriented databases are known as document stores. In this case, data is stored in document collections using XML, BSON, or JSON formats. In fact, a single record can hold a lot of data as much as you need in any particular type. That means it does not have constraints. Also, there is a given internal structure with a document, and it may differ from one document to another.
Key-value Databases
Ideally, each record is a non-relational database. Also, it has a value and a key. Just like a dictionary, you can use it to identify the value. It is quite as simple as that. Usually, developers use these types of databases when data is not complex, and speed is of the essence. For instance, it is useful for keeping configuration data. The data stored is not assigned any schema. That makes the database lightweight and the best for embedding.
Graph Databases
When using graphical databases, you have two forms of data to handle. In this case, the nodes stand for items you have in a database, and edges define the relationships. You should note that graph databases are similar to old-time network databases. As far as relationships and analysis are concerned, this is the best type of database to give a try. Lack of standardization means most of the query languages cannot be used.
Column Store Databases
This type of database is also known as a column family database and a wide column store. They are a good option when it comes to handling big data because of fast performance, great scalability, and efficient data compression. Rather than a schema that is found in the relational databases, these databases use keyspace. This type of database has rows and columns. Other than columns, each row has a key, and it holds a timestamp, value, and name.
You should note that data is the new gold. It is what makes databases to continue growing. Although they are still popular, they do require various tools.…