The Path of an AI Creator News: SQL rankings are down⁉️Changes that symbolize the future of AI and data analysis! Pay attention to Python and NoSQL! #SQL #Programming languages #AI trends
Video explanation
SQL has dropped in the rankings?! What will happen to data management in the age of AI?
Hello everyone! These days, the evolution of AI is unstoppable, and there are a lot of news stories about it.
This time, we will talk about a technology that has long been considered "super important" in the world of data, but is now attracting attention in a somewhat unexpected way."SQL (SQL)".
If you're wondering, "What, SQL? What's that?", don't worry! In this article, I'll explain in a very easy-to-understand way what kind of data is managed behind the scenes of the smartphone apps and online shopping you use every day, and how the evolution of AI is affecting it.
What is SQL anyway? Is it a magic word?
SQL is officially called"Structured Query Language"It's a bit long, but to put it simply, it's "a special language for communicating with databases (places where information is organized and stored)."
Imagine this. You have a lot of books in your house, right? You have them neatly arranged on a bookshelf by genre and author."Structured Data"And the role of SQL is to give instructions like "Get that mystery novel from the bookshelf" or "Put the business book I recently bought on this shelf."
In particular, data management in the form of "tables" like Excel"Relational Database"SQL has been used since the 1980s and is the "core" of data management. It can be said to have been a hidden force that has supported our society since long before the Internet came into existence.
What is the popularity ranking "Tiobe Index"?
The reason why SQL's ranking has dropped this time is because"Tiobe Index"This is due to the release of a ranking of the most popular programming languages.
The Tiobe Index is published monthly and is based on a comprehensive analysis of the number of engineers worldwide, the number of related courses and learning materials, and search frequency across more than 20 websites, including Google, Bing and Wikipedia.
In fact, SQL was once removed from this ranking before. That was in 2004. It was because of the opinion that "SQL is not a programming language." However, in 2018, it was reevaluated as "SQL has the ability to make computers perform complex calculations (Turing completeness), so it is a programming language after all!" and it returned to the ranking, which is an interesting history.
The news today is that SQL has dropped to 12th place in the Tiobe index, its lowest ranking ever.
Why has SQL's ranking dropped? A new trend in the age of AI!
So why has SQL, which has been the "king" of data for many years, fallen in rank? The biggest reason is"The rapid development of AI (artificial intelligence)"It is there!
According to Paul Jansen, CEO of Tiobe, "In fields where AI is booming,Unstructured datais treated more frequently,NoSQL Databaseis often more appropriate."
What is structured and unstructured data?
- Structured Data:Like the book example above, this is data that can be organized into a neatly organized "table." It is data that is easy to arrange in a fixed format, such as numbers, letters, and dates. (Examples: customer lists, product inventory data, bank transaction history, etc.)
- Unstructured data:In contrast, data that has no set form and is free-form. Examples include text, photos, videos, audio, and social media posts. (Examples: image data analyzed by AI, chat history, website visitor behavior logs, etc.)
AI is good at finding patterns and making predictions from "intangible data" such as huge amounts of photos, videos, and social media posts. When dealing with this kind of "unstructured data," the "rigid tabular" databases that traditional SQL excels at can sometimes be a bit inconvenient.
The Emergence of NoSQL Databases
What is attracting attention there is"NoSQL"It is a new type of database. NoSQL is characterized by its flexibility in storing data in any form, without being limited to a set table format. It might be best to think of it as the difference between a neatly organized library (SQL) and the latest creative studio (NoSQL), where data keeps growing with free thinking.
Jansen compared the rise of NoSQL to Python-like"Dynamically typed language (flexible code writing language)"But languages like C++ and Java"Statically typed languages (languages with strict rules)"He explains that this is similar to the phenomenon that is becoming more popular in the world of AI. In other words, the world of AI requires a more flexible and change-resistant data management system.
What are the current leading programming languages?
So what languages are popular in the world of programming languages today? Let's take a look at the top 2025 in the Tiobe Index for June 6.
- Python: 25.87% <– Overwhelming popularity in the AI field!
- C++ (C+++): 10.68%
- C: 9.47%
- Java: 8.84%
- C# (C sharp): 4.69%
- JavaScript: 3.21%
- Go: 2.28%
- Visual Basic: 2.2%
- Delphi/Object Pascal: 2.15%
- Fortran: 1.86%
alsoPythonIt maintains its overwhelming lead. Since so many tools in the fields of AI and data analysis are made with Python, its popularity is skyrocketing.
By the way, Python was by far the most popular in another ranking called the "Pypl Popularity of Programming Language index," which is based on the number of searches for programming language tutorials (learning guides) on Google.
Summary: Is SQL outdated? No, it's still essential!
After hearing this news, some of you may be wondering, "So, does that mean SQL is an outdated technology? Will it no longer be used?" But that's not the case at all!
As the CEO of Tiobe said, "SQL will be the foundation of databases for decades to come.""The Backbone""It will continue to be the case that SQL is the most powerful language for managing data efficiently," he said. This is because there will continue to be huge amounts of well-organized "structured data," such as sales data and customer data from corporate activities.
It is correct to think that the evolution of AI is diversifying the types of data we handle, and the technologies required to handle it are also increasing. SQL and NoSQL are not superior to each other, but rather have a "right person for the right place" relationship, with each having different areas of expertise.
The world of data and AI is only going to get more interesting and complex!
A few words from Jon
The evolution of AI is constantly rewriting the conventional wisdom about the technology that surrounds us. I feel that the recent change in SQL rankings is part of this larger trend. What's important is not just to follow trends, but to understand the strengths of each technology and what problems it solves. I've been reminded that I want to keep learning and share my knowledge with everyone in an easy-to-understand way!
This article is based on the following original articles and is summarized from the author's perspective:
SQL slips in language popularity index