What is SQL (Structured Query Language) Database?
SQL databases, frequently known as relational databases, are primarily based on a nicely hooked-up and dependent information model. Here are some key features of SQL databases:
- Tabular Data Model: SQL databases organize records into tables with rows and columns. Each table contains some set of attributes also known as entity. Each row of the table is known as a record. Columns define the attributes or residences of the information.
- Fixed Schema: SQL databases require a predefined schema, which means that you must define the structure of the records, specifying record types and relationships earlier than adding records to the database. This makes SQL databases suitable for based and steady information.
- ACID Compliance: SQL databases are commonly ACID-compliant, which means they make certain records consistency and integrity via Atomicity, Consistency, Isolation, and Durability.
- Structured Query Language (SQL): SQL databases use a standardized query language to control and retrieve facts. SQL is strong and supports complex queries, making it suitable for applications requiring statistical analytics and reporting.
- Strong Relationships: SQL databases excel in coping with complex relationships between facts tables.
- Vertical Scalability: SQL databases commonly scale vertically by adding extra sources to an unmarried server. While this will be effective to a positive extent, it has boundaries and can turn out to be steeply priced for large-scale programs.
Common examples of SQL databases are:
- MySQL: An open-source relational database this is widely utilized in diverse packages.
- PostgreSQL: A powerful open-source relational database known for its extensibility and assist for advanced functions.
- Oracle: A commercial relational database regarded for its robustness and scalability.
- Microsoft SQL Server: A popular commercial database system advanced by means of Microsoft, widely used in Windows-based packages.
SQL vs NoSQL: Which Database to Choose in System Design?
When designing a system, one of the most critical system design choices you will face is choosing the proper database management system (DBMS). The choice among SQL vs. NoSQL databases can drastically impact your system’s overall performance, scalability, and usual success. This is why we have brought this detailed comparison of SQL vs NoSQL databases in System Design, to help you determine which database to choose while designing a scalable system. We’ll also speak about eventualities in which SQL or NoSQL databases are extra suitable, types of NoSQL databases, and various SQL server configurations.
Table of Content
- What is SQL (Structured Query Language) Database?
- What is NoSQL (Not Only SQL) Database?
- SQL vs. NoSQL: A Comparative Analysis
- SQL vs NoSQL in System Design – Data Model and Schema
- SQL vs NoSQL in System Design – Scalability and Performance
- SQL vs NoSQL in System Design – Query Language and Transactions
- SQL vs NoSQL in System Design – Flexibility and Schema Evolution
- SQL vs NoSQL in System Design – Use Cases and Applications
- SQL vs NoSQL in System Design – Data Integrity and Relationships
- SQL vs NoSQL in System Design – Security and Authentication
- SQL vs NoSQL in System Design – Community Support and Ecosystem
- SQL vs NoSQL in System Design – Cost Considerations
- SQL vs NoSQL in System Design – Decision Factors
- SQL vs NoSQL in System Design – Case Studies and Real-world Examples
- SQL database over NoSQL database in System Design
- NoSQL database over SQL database in System Design
SQL and NoSQL are awesome categories of database control systems, each with its very own set of traits and use cases. Let’s have a look at these two: