What are the Advantages and Disadvantages of SQL Language?
SQL or structured query language is one of the most popular programming languages used by various developers or applications worldwide. It provides you with various features and you can enjoy its efficient behavior to maximize your project success.
It can be used with many database systems but shows maximum compatibility with relational databases such as MySQL and PostgreSQL. In this article, we are especially going to discuss the advantages and disadvantages of SQL programming language. That’s how you understand how to get maximum benefit from it and avoid any limitations later.
So, without further ado, let’s dive right into this.
Advantages of SQL Programming Language
There are many benefits you can enjoy with SQL programming language. Such as you can manage the efficient querying system, manage your database accurately, use commands, keys and constraints, and much more. For your better navigation, we have described some core advantages of SQL below.
Check them out.
Easily Create Databases and Validate Your Data
SQL provides various commands, constraints, and keys to create the databases. And tools to validate your data are present in tables showing great relationships. You can check whether the rules you specified are correctly implemented and you’re allowed to make data recovery and backup easily with it.
Here are the core commands SQL structured query language offers:
SELECT, INSERT, UPDATE, DROP, TRUNCATE, USE, SHOW, DESCRIBE, DELETE, CREATE, ALTER, COMMIT, ROLLBACK, SAVEPOINT, GRANT, REVOKE.
And here are the constrains:
PRIMARY KEY, FOREIGN KEY, UNIQUE, DEFAULT, INDEX, UNIQUE INDEX CHECK, NOT NULL.
All the keys and constraints provided by the SQL language has specific functions. First, understand the proper functionality of each key and constraint, then implement any.
Retrieve Your Data and Make the Right Decisions
SQL language allows you to retrieve your data easily without using any third-party tools. The process for this is also quiet simple. Only you need to understand the grouping and summarizing procedure, so you don’t face issues after finding specific information to be retrieved. Large organizations can easily make queries, generate reports and even analyze for the appropriate decisions.
Commands For Modifying Your Data
The SQL also offers essential commands that can help you add new data to your database, improve the existing one, or even delete the data. Talking about these commands, they include INSERT, UPDATE, and DELETE. All you need to do is, select the data you want to implement specific command on.
After selecting data, use any of these commands matching to your intent and implement. We recommend you double check the data to before you promote any command. Don’t go with any command until you don’t understand the proper method for implementation and the consequences.
Managing Easy Access and Control
As an administrator, you can manage the access control with SQL language.
For better security of your data, SQL promotes authentication, encryption, and authorization. No one can access your data without your permission or make any changes. This feature is quiet helpful when you’re working on a large-scale project where co-developers are assisting you. Plus, you can add more security layers to your database using Structured Query Language.
Using Keys and Constraints For Better Data Integrity
There are primary and foreign keys provided by SQL programming languages that you can use for better data integrity. With them, you can ensure your data is accurate, properly managed and following the specified rules. This is how you can avoid inconsistent and invalid entries and structure your data for better crawlability and indexing.
Easy Indexes Creation and Management
Using SQL programming language, you can create indexes and also manage them time to time. Indexes are basically the structures that help you enhance data retrieval speed on a database table. Using this language and creating indexes can also help you optimize the querying speed and management.
The most common types of indexes include primary indexes, unique indexes, clustered indexes, non-clustered indexes, bitmap indexes, covering indexes and more.
Easy Reports Generating
Using SQL programming language, you can also generate the data reports easily. These reports will help you completely analyze the insights, performance of your project, validation and integrity. Generating reports is quiet easy only you need to understand the commands keys to do that.
Firstly, do the “SELECT” query to select the data to be extracted for generating the report. Once you select the data, organize, summarize and do grouping as per the requirements of data report. It’s up to you to design or customize the suitable structure of reports and extract. Now, you can make perfect decisions using this data and insights for better project management and performance.
Well, these are some of the advantages of SQL programming language. Now, let’s discuss some disadvantages of this structured query language in the below section.
Disadvantages of SQL Programming Language
Where you can enjoy maximum benefits with SQL language, there are also some limitations or disadvantages of SQL. We have described them below – check them out and ensure you properly tackle them during your projects.
Common Issues With Analysis of Large Volumes of Data
SQL is ideal for small and medium-level projects or databases. Although, it supports big data but sometimes impacts high efficiency and causes slow performance issues. Especially, when you are analyzing the data and making queries.
According to the various expert developers, SQL also cause issues when you have graph based data or multimedia like images to embed in the database. If you want efficient speed and performance, ensure you’re not going with large datasets with SQL as a structured query language at the same moment.
Limited Constraints Support
A structured query language should have constraints for all types of databases. However SQL only supports relational database model constraints and is not suitable for graph-based and hierarchical data only. We have described almost all the constraints by this language above, but they majorly support relational models and work on its principles.
Problems with Complex Queries
You can enjoy the maximum speed and performance if you are making simple type of queries using SQL. In contrast, if you do complex queries, you might face performance and efficiency issues. Don’t make a lengthy database, promote tables partitioning and that’s how you avoid complex queries.
Limited Hierarchical Data Support
As we have mentioned above, SQL only supports relational database model constraints. That’s because you cannot create tree-structure-like data, graph-based complex, or scientific data with it and make efficient queries.
Pro tip: Techniques like recursive queries can help you with this if you’re expert enough and understand its implementation.
Non-optimizing Performance With Big Databases
As the volume of data grows, you might face difficulties with high speed, performance, efficiency, and other features. You cannot make complex queries, update or change data, review access controls, retrieve and more.
Try to use the table partitioning feature of MySQL if you’re using this database. In this way, you can manage large volumes of data in an organized way and even define the relationships with them using keys and constraints.
Access Control Challenges
If you are using SQL programming language you might face difficulties with concurrent access control. It is observed by various developers worldwide that multiple users or applications cannot manage concurrent access at the same moment.
Well, these were all the advantages and disadvantages of SQL structured query language. By knowing all of them, you can get maximum benefits from this language and can tackle with limitations easily. But if you’re not enough familiar with this language and don’t understand them method of implementations and more.
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Conclusion
We have shared the advantages and disadvantages of SQL programming language completely. By understanding them, you can enjoy the maximum benefits of SQL and even tackle it with limitations. We also described how RemotePlatz can help you connect with the ideal SQL developer you’re looking for.
Now, leave your kind opinions regarding the topic in the comment box below.
FAQS
What Are the Limitations of SQL Standard?
Limitations of SQL standards include incompatibility with hierarchical data, struggling with complex data relationships, and formats like JSON and XML. Moreover, SQL also causes issues dealing with unstructured or semi-structured data. That’s why it is mostly used by relational databases because they are already well organized and managed.
What Are The Disadvantages of SQL Server Authentication?
SQL server authentication relies on usernames and passwords, considered less secure than Windows authentication. There’s a risk of unauthorized access. That’s why Windows authentication is recommended everywhere. But SQL also uses keys and constraints for better encryption, authentication, and authorization.
When Not To Use SQL Server?
Don’t go with SQL if your project data is unsecured and requires a lightweight database because the language highly supports structured and well-organized data. You can opt for alternatives in such cases.
Why Is NoSQL Faster Than SQL?
NoSQL uses more flexible models, supports various constraints, and allows for quick data retrieval. It is also compatible with semi-structured or unstructured data while SQL is not.
When Should I Use SQL Instead of Excel?
Excel is quiet simple while SQL is broad. We recommend you use SQL instead of Excel when you’re dealing with large datasets, defining complex data relationships, and giving access to multiple developers simultaneously to work with you on the shared project.
