Whether you’re developing an internally-owned application or a SaaS company and want to sell millions of platforms, there’s a lot to be done to make sure you get it right.
Some of the most important choices you make focus on how your databases will be structured. Structured query language (SQL) remains a popular choice for many developers although you have many options and is a common language. NoSQL databases are becoming increasingly popular at the same time.
What are the differences and how can you select the right option if your choice is limited to that? Here is everything you need to know about SQL and NoSQL, to help you understand how to choose your business correctly.
Why is SQL?
Generally, large enterprises use SQL for managing their databases, but that doesn’t mean it isn’t suitable for startup! SQL can help you collect, manage, compare and modify data from multiple sources by clicking the button when your business works with large data structured.
Therefore, SQL can help drive automation in the rear and front end contexts depending on your business. This increases the efficiency of your business processes for your customers and internally. Your company is growing by a better customer experience, which means you win. However, SQL may not be the best way to meet your requirements.
What are the differences between SQL and NoSQL databases?
For many years, tech experts and developers have discussed what NoSQL means. Some of them are still! The best way to structure it is to look at SQL and NoSQL in particular.
What is a SQL database?
SQL databases are in SQL language support. SQL databases, which rely on narrowly structured data and fixed schemas, are known as relativistic databases. You can improve your database performance by adding process power and memory to your systems in the SQL database, which is vertically scalable.
Due to the structured nature of SQL databases, the following kinds of businesses can benefit from using SQL often best used in the context of transactions:
- eCommerce platforms
- Customer relationship management SaaS platforms
- Accounting software
What is a NoSQL database?
What do you mean by NoSQL? Many interpret this to mean that there is no SQL use of a database. Today, however, the reference to a database that does not use the only SQL is accepted. It is simply a database that could use SQL, but which also uses other languages.
Approximately 15 years ago, NoSQL began to emerge mainly as a reaction to the disadvantages of SQL databases:
- The absence of horizontal scale — through the addition of more servers.
- The rigidity of SQL’s structured data has been restricted for developers.
While you might read this and think that NoSQL’s advantages and additional possibilities are great, you might not have to appreciate it! If SQL does the job it needs, NoSQL selection could unnecessarily make your data management more complex.
However, NoSQL can enable you to operate with data more dynamically and is useful if:
- You need undefined and unique structures to create and store documents.
- Without changing existing fields or rules, you want to add fields to the database and document.
- You would benefit from the use of several unique databases.
Pros and cons of SQL and NoSQL
We have summarized the pros and cons below to add further context to the differences between SQL and NoSQL.
Pros of SQL databases
- SQL databases reduce the footprint of your data storage and provide better performance.
- The structure and schemes utilized are robust data integrity.
- Flexible query support; in the absence of an exact match your SQL engine optimizes questions and finds the correct or the most relevant response within your structured data.
Cons of SQL databases
- The use of rigid data models requires an attentive design to ensure sufficient performance.
- Changing schemes and structures typically involves downtime of the database.
- It is difficult, although not impossible, to scale horizontally — by adding more servers.
- To minimize the risk of database failure, please use reproduction or failure techniques.
Highlighting the advantages and disadvantages of NoSQL databases is challenging because each case depends on the language you use next to SQL. It’s unique. However, we sum up some of the possible advantages and inconveniences below.
Pros of NoSQL databases
- It may be more reliable than SQL databases to scale and remove single points of failure.
- Enable you to utilize flexible data models and to update schemes according to your needs and feedback.
- High performance achievable by limiting the range of database capability.
- High performance can be achieved by reducing the database capacity range.
Cons of NoSQL databases
- NoSQL databases, as a distributed system, can lead to certain failures, though without a single failure point. However, in specific areas of your process, you still need to manage bugs.
- Potential lack of access pattern flexibility.
- Since data are structured or not, query engines can have difficulty producing the best results.
What is the best option for 2021?
It depends on the needs and the achievements of your company.
In addition to thinking about the specific recommended applications described above, consider the advantages and disadvantages of each one that effectively affects your choice. In fact, if you have to work with NoSQL because SQL simply won’t cut it, you don’t really have an option. The primary consideration here is whether you want or want to use NoSQL databases in place of those who typically use SQL.
Choose the solution for you and your customers that will work best!
Thank you so much for taking the time to read this. I hope you now have a better understanding of SQL vs NoSQL, and that you enjoyed reading it as much as I enjoyed writing it.