Difference Between SQL and NoSQL Databases, In this article, we will see what are the major differences between SQL database that is RDBMS relational database management system and NoSQL database and when to choose SQL or NoSQL
What we are going to cover?
- Introduction to data
- What is a database?
- Why do you need a database?
- Understanding SQL
- What is a relational database?
- Understanding NoSQL
- Difference Between SQL and NoSQL Databases
- When to use: SQL or NoSQL?
Introduction to data
What is data? well to put it in the most simple term for you guys data can be considered as any facts which are basically related to objects.
For example the number of books, it’s a numerical form of data book count can be anywhere between zero all the way till 100 and much more and then we have images and much more.
But when you think about the data that gets generated by social media it is terabytes worth of data every single hour well
- Whatsapp you can send documents messages encrypted messages to be accurate
- Twitter you can send tweets
- Facebook you’ll be uploading images
- and again Instagram and much more as well right
What is a database?
Database is basically nothing but a very systematic collection of data
Where this collection of data is used in the manipulation of the data which is stored. Managing the data in and outdone using a database because it can be accessed and worked around in a very easy way.
- The old school telephone directory books which are also called as the Yellow Pages. It was a very good form of a database.
- Contacts app on your mobile phone follows the same rule
- Power generation schemes:
- Where the entire world is consuming some amount of power and this power needs to be tracked
- so that the power generation companies know how much to generate
- so they have an entirely detailed database and then this database is also used when you’re being billed every single month for the electricity that you go on to using
- We have social media. Social media handles tons and tons of data every single day
Why do you need a database?
Here are some of the reasons why we should actually be considering a database:
Managing large amount of data Accuracy
- A database makes it very easy to handle data
- You can store thousands and thousands of libraries and thousands of thousands of lines of data rows and columns of data in a spreadsheet
- How accurate do you think the data is going to be because if it’s a manual
- if done manually in my opinion this would be a very messy shabby and unruly job
- If you use a database all of this makes sure that all the negatives of manual labour are taken away because databases ensure very good accuracy
- here are more reasons the ease of data upload Manually
- uploading a data into a spreadsheet might be very tough
- but then uploading a data to a database let it be any form of data
- unstructured data
- semi-structured data
- fully structured data
- The most important thing we should all be concerned about data security when you’re moving your data in and out of databases
- you can also make sure that the data gets encrypted and that no person can access the data unless authorized to do so your data security is one of the very good reasons as well
What is SQL?
SQL is the simple standard language which is used for dealing with something called as relational databases
SQL is the language which can be used to create read update and delete all the records all the details all the singular units present on the database
So what does SQL stand for? Well SQL stands for structured query language.
SQL is actually pronounced as either SQL itself or see-quel as well
What is a relational database?
A relational database is nothing but a very simple type of database that is used to store and provide access to the data points that are interlinked to each other and this is what gives it the name relational database.
Relational databases are based off a model what we call as a relational model
Relational model is a very intuitive way where you can you know draw out your model and then put out relations in between your data with respect to that
it is a very straightforward way of representing your data actually
All the data is stored in the form of tables
How do we differentiate the data in tables?
Well we have something called as keys
All these keys actually give a unique identifier to each entry in a particular table
All the rows hold the data and all the columns pretty hold all the attributes of the data
Each record always has a value which is associated with the particular attribute
It very easy to establish some very good relationships among the data since we
are directly dealing with relational databases
What are the flavours of SQL?
SQL majorly is very simple and very similar in syntax when you consider all the flavors as well
There are certain proprietary changes for example which Microsoft SQL might put out or MySQL might consider or even at the people at Oracle as well and
It is a very simple tool to learn it is widely used throughout the world as well
again running through the examples MySQL, Oracle database we have Microsoft SQL, MySQL, Oracle, Postgre, Sybase and much more
What is NoSQL?
It is a non-relational database management system that is what DMS means.
It does not require the fixed relationships so basically again there are some feature called as joins in SQL where in terms of NoSQL we are avoiding all these concepts and by avoiding all of these the biggest advantage of for no SQL database it is that it makes it extremely easy to scale from one machine to thousands of machines where all the data needs to be moved around worked with and processed at the same time so the biggest advantage again after easy to scalability.
Huge data storage:
NoSQL databases are known for their huge data storage requirement handling capabilities with respect to various distributed data sources.
Who introduced NoSQL?
It stands for is not only SQL or not SQL and Carles Trots introduced the world of NoSQL to us in the year 1998 so it is a quite fairly old concept
NoSQL consists of a wide variety of database technologies this is done to ensure that you can store any type of data that you can think of in a very simple way and then what this wide variety of data consists structured data, semi-structured data, unstructured data, polymorphic data and much more think of images videos or unstructured data in the form of a spreadsheet and much more
day-to-day activities and again coming to the flavors of no SQL here are some of the non-relational database examples are we have Amazon DynamoDB, MongoDB, Apache HBase, Cassandra and much more
Difference Between SQL and NoSQL Databases
- SQL databases are called as our DBMS or relational databases the M S stands for management systems.
- NoSQL databases they’re called as the non-relational database management systems
- SQL was actually developed in the 1970s and this is a 50 year old technology this basically came into picture when there were some struggles to store a flat file storage methodologies and then this actually overcame all of that, at that particular time
- NoSQL was actually developed in the late 2000s on a very large scale and this actually was put out to make sure it can overcome all the limitations all the downsides of the SQL databases
- SQL stands for structured query language and this is the standard language when we talk about SQL
- NoSQL databases have no declarative query language as such which can be used to work with
- SQL databases are full of tables again SQL databases are table based databases
- hence there are a lot of tables their
- tables form the backbone of this particular entity and every item on the table and every item which corresponds to this table forms a very vital part of that database
- NoSQL databases are include everything from graphs, it can be document based there are some key value pair databases and more
- SQL databases are all vertically scalable and can be stacked on one top of the other
- NoSQL databases are horizontally scalable
- SQL databases are well suited for complex query intensive work
- NoSQL databases are actually considered where you do not have a requirement for all of these complex queries
- Not all SQL databases are open source but then 90% of them are but there are commercial versions such as Oracle dB some of the features actually come at a premium
- Most of NoSQL databases have been open-source ever since their launches respectively
- Hardware requirement you have to know that SQL sometimes require very specialized hardware
- for example we have Oracle extra data and there are much more
- NoSQL databases work with full functionality on full screen even on the particular commonplace hardware where it does not require any fancy components to work and then the principal each model follows is also a little bit different
- SQL follows the acid model
- so all these are certain principles and rules laid out when you’re working with an SQL database
- NoSQL follows the base model, so this base model actually means
- Basically available
- Soft state
- Eventually consistent
When to use: SQL or NoSQL?
When to use SQL?
- SQL is actually preferred where there is a communication requirement with an RDBMS system because
- it’s a relational database management system and SQL is the preferred language for an RDBMS
- it is used when you have to analyze behavioral related tasks and you have to give any customized sessions for your clients as well
- SQL is preferred when you actually building custom dashboards when you’re building custom reports
- So the main advantage of SQL is that when there is a requirement to let’s say you have to store the data and get the data at the earliest in a very rapid manner SQL is the go-to language to go so
- When the use of RDBMS concepts such as joins where you’ll be joining two tables and picking out a value from the same is required
- When you’re using concepts such as views
- If the execution of complex queries is required thenSQL is the preferred language
When to use NoSQL?
- NoSQL is actually used when your particular data does not require the ACID properties to work with
- Where we use the non-relational database model because there are flaws with the RDBMS
- NoSQL came into the picture so that it can fill in all the limitations provided by SQL
- NoSQL again gives you very good advantages when there is any requirement of a very flexible schema it does not need very hard or very harsh one-on-one relationships or one to many relationships
- Advantage of NoSQL is that it does not have any particular dependencies and it can if any constraints and validation logic which you think are actually not required in that particular database
- Logging data from a variety of sources. NoSQL does this in a very easy and efficient way
Click here to read the article about advantages of NoSQL database: MongoDB