What Are The Pros And Cons Of Non-Relational Databases In Different Applications?
What Are The Pros And Cons Of Non-Relational Databases In Different Applications?
In the digital age of computers and information, data has become an extensive commodity, and storing it has become a tedious task. Databases come to our rescue by storing the data digitally in a computer system and structuring it in a proper format.
A database has a backbone system that manages it, and this is called a Database Management System (DBMS). These database management systems handle storage, backup, security, and data privacy.
In this blog, we’ll understand Non-Relational Databases, their Pros and Cons, and the difference between Relational and Non-Relational Databases. Let’s dive in!
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Table Of Contents
1. What Are Non-Relational Databases?
2. Pros And Cons Of Non-Relational Databases
3. Difference Between Relational And Non-Relational Databases
4. Is SQL A Non-Relational Database?
5. The Final Say
What Are Non-Relational Databases?
Non-Relational Databases store data just like Relational Databases but the format of storage is different. They don’t have tables, primary keys, or foreign keys for establishing relations between the data but instead, store it in the form of documents depending on the specific nature of the data itself. These databases are also called NoSQL Databases because instead of using Structured Query Language (SQL), they use Object Relational Mapping (OMR) which can be used to write queries using preferred programming languages.
There are four main types of Non-Relational Databases –
1. Document Datastore
An entity known as a “document” is managed by a document data store. Documents are commonly saved in JSON documents, which can be encoded in various ways, including XML, YAML, JSON, etc. Documents contain accessible fields that let applications query and filter data based on field values.
2. Column-Oriented Databases
These kinds of Non-Relational Databases organize data in the form of columns and are thus slightly similar to Relational Databases that store data in the form of tables. This type of Non-Relational Database Management System helps in business analytics by representing the data more efficiently.
3. Graph Databases
These types of Non-Relational Databases are slightly complex and are used to show relationships between different data elements. The connection between elements is called a link or relationship. This type of database is used when the data is heavily interconnected.
4. Key-Value Stores
Key-value Stores are the simplest way of storing data in which every data element is stored as a key-value pair consisting of a name (key) and a value.
Pros And Cons Of Non-Relational Databases
Over the years, Non-Relational Databases have become more popular than Relational Databases because of the flexibility they provide in storing data. Some Pros of Non-Relational Databases are as follows:
1. Flexibility In Structure
Non-Relational Databases are less structured and allow data to be scaled horizontally as well as vertically. There are no relations like that in Relational Databases which makes these databases independent. Their scalability and flexibility give them an upper edge.
2. Large Storage
NoSQL Databases are able to store large datasets, which makes them ideal in industries and businesses where large data is used. Since there is no interlinking, data analysis through even large sets of data becomes easy and user-friendly.
3. Less Coding
Non-Relational Databases require only a few lines of code which is an ideal situation for developers as they can get started directly with their work with less effort making computation easy.
Although Non-Relational Databases have some clear benefits, these benefits do not come without a price. Here are some Cons of Non-Relational Databases –
1. Less Developed
MySQL has been used by developers and coders for a long time now. There are a lot of updates, modified versions, online help, and support that people can seek in case of queries but NoSQL is still new to people thus, understanding it becomes a little difficult.
2. Queries Are Inflexible
Although NoSQL provides flexibility in the types in which data can be stored, queries lack the functionality present in SQL i.e., there are no unique or standard queries fixed for certain commands and the programmer has to spend more time.
3. No Atomicity
The accuracy of the information stored in Non-Relational Databases is significantly lower than that of Relational Databases which breaches the trust of the user in these kinds of databases.
Difference Between Relational And Non-Relational Databases
The following are the differences between Relational and Non-Relational Databases –
1. Relational databases use Structured Query language (SQL) and are called SQL Databases while Non-Relational Databases do not use SQL and are also called NoSQL Databases.
2. Relational Databases store data in the form of tables which consist of rows and columns. At the same time, Non-Relational Databases represent data in different formats mainly documents, columnar data stores, and graph databases.
3. SQL Databases exhibit the qualities of Atomicity, Consistency, Isolation, and Durability (ACID) while NoSQL Databases are sometimes unreliable and lack these properties.
4. Relational Databases are suitable for medium and large quantities of data while NoSQL Databases are suitable for large sets of data.
5. The data processing is slow and there is less support for complex data in Relational Databases but Non-Relational Databases offer more support for complex data.
Some examples of Relational Databases are MySQL, Oracle, and Non-Relational Databases are Apache, Cassandra, MongoDB, etc.
Is SQL A Non-Relational Database?
SQL is a Relational Database while Non-Relational Databases are sometimes called “NoSQL” Databases because they do not use the use of Structured Query Language SQL is a widely used programming language that stores data in the form of tables for stability exists for relationships between data values .
The major component of a SQL system are:
•SQL table and
The Final Say
Non-Relational Databases are also a type of database that stores information like Relational Databases but the main difference between the two is how they store information and represent both types of information databases have their advantages and disadvantages, custom database system can handle function as per programmer need.
1. What are Non-Relational Databases?
Non-Relational Databases store data just like Relational Databases but the format of storage is different. They don’t have tables, primary keys, or foreign keys for establishing relations between the datasets but instead, store it in the form of documents depending upon the specific nature of the data itself. These databases are also called NoSQL Databases because instead of using Structured Query Language (SQL), they use Object Relational Mapping (OMR) to write queries.
2. Is SQL a Non-Relational Database?
No, SQL is a Relational Database because it stores data in the form of relations i.e., tables which represent data in the form of rows and columns. On the contrary, Non-Relational Databases are called NoSQL Databases because they do not use Structured Query Language (SQL).
3. What is the difference between Relational and Non-Relational Databases?
The key difference between Relational and Non-Relational Databases is the format in which they store data. The former stores data in the form of tables while the latter stores it in the form of documents.
4. Which is better for storing data – Relational or Non-Relational Database?
Relational Databases can be used to store medium and larger sets of data while Non-Relational Databases are best used when the developer is dealing with large sets of data. Relational databases are widely used because of the updates and online support they offer.
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