Is SQL Still Relevant?

Is SQL Still Relevant?

What are the reasons why SQL is not the best option these days? Is SQL Becoming Extinct? Is SQL database language Still Significant?

Data is more precious than money in today’s age. Every day, businesses gather an enormous quantity of data and struggle to store, manage, and analyze it.

SQL, or Structured Query Language, is the industry standard for communicating with relational database systems. SQL databases allow the user to communicate with sets of data without creating bespoke code, rather than using a very well standardized language that can be transferred between a variety of database languages. 

However, SQL has drawbacks such as it has faced insufficiency in implementation of innovative needs, platforms compliance, use patterns, and efficiency, unlike any other language. This prompts the query: is SQL still significant? Or is it becoming extinct?

So, let’s find out the answers to these questions. Get in touch with SQL database language and become familiar with it through this comprehensive SQL certification online.

Is SQL Becoming Extinct?

Notwithstanding having a brilliant ascent for a long time, SQL has been blurring as the true decision for programming applications that need to work with huge datasets at low latencies. In this period of big data, engineers should be chivalrous of the limits of SQL particularly when handling enormous volumes of data. This is particularly significant in the advanced time of data; where organizations are gathering more information than any time in recent memory; attempting to get a significant understanding from it. And as per Google Trends, SQL has been in a predictable descending direction since 2004. Which clearly shows that SQL is becoming extinct. But why? 

The following are the reasons why SQL is not the best option these days.

  • A decent language ought to have fewer commands and more intermittent special cases. However, In SQL, it is not possible. This load of provisions makes it a language with terrible orthogonality and countless special cases.
  • SQL was produced for non-developers and guaranteed English-like simplicity for them, yet it neglected to advance decidedly with time.
  • The semantics and language structure make more issues for the client if the SQL adaptation of the client and the data set are unique. This absence of consistency makes gigantic issues for users. 
  • SQL gives extensive trouble in combination with other application dialects and conventions. This makes errands for data scientists undeniably challenging.
  • SQL permits duplication of lines coordinating with dialects like Python. In any case, a disadvantage of joining with such a language is that the information may get distorted on occasion as far as particularity.

Hence, The language isn’t expressive, testing to understand, and not exceptionally permeable. These intricacies make it hard for a developer to write in it and take more time to code.

Is SQL Still Significant?

After considering all the discussions above you must be wondering about the performance and usage of SQL in the current market right? So that will lead to the question: is SQL still significant? And the answer is, for organizations, yes. Get a detailed grasp on the concept what is SQL with this informative tutorial. 

SQL has set up a good foundation for itself as the true information access language utilized across various enterprises. This implies that SQL is as of now not simply utilized by engineers; however, people from various equally specialized fields need to store, control, and access enormous volumes of data in databases.

SQL is as yet the top language for data tasks. It is more famous among data scientists and developers than even Python or R. Truth be told, it’s perhaps the most utilized dialect in the whole tech industry! 

Some other Important Features:

The “most utilized” innovations according to StackOverflow’s 2020 designer study, SQL obscures even Python as far as notoriety. And it’s the third-most-well-known language among all engineers. SQL is the most utilized language in data science; as per the 10,000+ information experts who reacted to StackOverflow’s 2020 study. 

Notwithstanding bunches of publicity around NoSQL, Hadoop, and different advancements; SQL remains the most well-known language for data tasks and quite possibly the most famous dialect for designers, everything being equal.

Moreover, SQL has been broadly embraced. Practically most of the greatest names in tech use SQL. Uber, Netflix, Airbnb — the rundown goes on. Indeed, even organizations like Facebook, Google, and Amazon, which have constructed their own superior information base frameworks; data groups use SQL to query information and perform analysis.

Everything has its advantages and drawbacks. But, It’s an issue of sorting out the thing they are and carrying out the right answer for it. SQL might in any case be the best and proficient for you dependent on heritage information; or previously chronicled cooperations with it according to the data needs. 


I hereby conclude this discussion. Whatever the case, SQL is still significant and applicable. SQL isn’t going anywhere soon. In this present reality where organizations are subject to enormous amounts of information; getting what information is accessible and what information you really need; (and how to recognize one from the other) is a priceless experience. In the event that you can rapidly extricate the data, you need from the information you have; you’ll become progressively significant to your group. Learning SQL is a straightforward and quick approach to achieve this.

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