NoSQL vs. SQL – What is Better?

With novel introductions in database management systems, it is difficult by enterprises and individuals to decide what to choose. Having a traditional SQL data store and a newly popular DBMS known as NoSQL, understanding concrete differences between the two can only help us choose the right database for our business and software development applications.

Many of us only know about SQL to be the oldest DBs we have, and it would be surprising for you to know that NoSQL existed before SQL’s usage exploded in 1990s. NoSQL is as old as 1960’s. However, they have gained popularity lately with the eruption of several options like MongoDB, Cassandra and HBase.  The choice does not depend on the benefits and disadvantages of these database systems, rather it’s the type of web applications you deal with and the results you expect from a query system.

Some of the key features of SQL that make it a popular database management system of all times-

• They fit into most of the popular software stacks
• Easy and familiar structure make it a preferred option
• Eliminates redundancy and synchronizes the data

However these benefits may not be sufficient for the changing business scenarios. This gap is filled by NoSQL. Some of the distinctive NoSQL advantages are explained below –

Learn these NoSQL Interview Questions asked by top MNCs!

NoSQL vs. SQL

Till now you must have gotten a clear picture of both the databases, however a brief comparison will give a clearer view –

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NoSQL is better than SQL- Truth or myth?

Whenever people compare SQL with NoSQL, they state that NoSQL overpowers SQL and is better. Then you must know that this is a MYTH! Remember, none of them supersedes each other and NoSQL is not a replacement to SQL but an alternative to it.

In reference to the differences, one of the technology experts well said, “One size does not fit all.” It means some projects and applications are better suited on SQL while others on NoSQL. In fact, some SQL databases are adopting features of NoSQL and working in collaboration. We have always been living with some rules to using the databases like PHP or .Net projects can only use MySQL (SQL) databases. Do not consider it a rule; you may use MongoDB (NoSQL) in your PHP application. Similarly, you can use SQL Server in Node.js applications, instead of presuming that only NoSQL fits the best.

SQL Tables vs. NoSQL Documents

SQL provides a storage database in the form of relational table model, i.e., rows and columns. For instance, you have a table named training_course with the above mentioned data of two online training companies. Each row has a different record. In this table, the data type of each field is fixed and you cannot insert a number in place of a string.

On the other hand, NoSQL databases make use of field-value pairs in a document, similar to JSON.

For instance,

{

Course Code:  7654389

Title:  “Tableau Training”,

Company: “Intellipaat”,

Training format: “Online”,

Price (in $): 150

}

Such documents are stored in a collection in NoSQL database as they are stored in table in SQL. But, you can store any type of data you wish in any of the documents of NoSQL.

{

Course Code:  7654389

Title:  “Tableau Training”,

Company: “Intellipaat”,

Training format: “Online”,

Price (in $): 150,

Rating: 5/5

Review:

[

{ name: “Alex” , text: “The course was very helpful in preparing for Tableau   Certification.”  },

]

}

Unlike SQL database, which is strict to allow any changes in data type and has a fixed data template, NoSQL employs more flexibility. However, sometimes a lot of changes lead to consistency issues.

I am going to talk about the two most important criteria that will decide your selection- Schema structure and Data Integrity. Read below-

SQL has a Schema structure while NoSQL is schema-less

The tables in the SQL database refer to schema structure, which contains information about following parameters:

Primary key: A unique field that can help you identify a record uniquely; for instance, Course Code in the above table

Relationship: Refers to logical links between two and more data fields in a table. Functionality like Triggers, Views, Stored Procedures, Joins, etc.

Most SQL Developers decide and define the schema structure including any of these functionalities in their table before implementing or applying any business logic is applied to modify and/or update the table. This is because it becomes complex to make big changes later.

On the contrary, as mentioned, NoSQL is formative and the data can be modified and added anywhere at any time. You need not mention a predefined document design. In MongoDB,

db.table_course.insert command lets you create a new document  if it wasn’t created before. It will by default add a unique _id to every document present in a collection.

Data Integrity as an important criterion

As you know while working with two SQL table, you can relate them with a foreign key field. This refers to data integrity. If we have a project table, the project_id will be the foreign key and the rules could be defined as:

• It should be ensured that each training course should have a project_id matching to that in the project table.
• Do not let users delete projects if there are one or two training courses assigned to them

In this case, it is complex for Developers and Database Administrators to edit or delete records, resulting into inconsistent databases. There is no data integrity operation available with NoSQL databases. Each document acts an independent source of information about an item.

Bottom line

Ultimately, the choice of database between SQL and NoSQL cannot be concluded on the differences between them but the project requirements. If your application has a fixed structure and doesn’t need frequent modifications, SQL is a preferable database. Conversely, if you have applications where data is changing frequently and growing rapidly like in Big Data Analytics, NoSQL is the best option for you. And remember, SQL is not deceased and can never be superseded with NoSQL or any other database technology.

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