Title: Why SQL Databases Outperformed Network/CODASYL Databases in the ’80s
The early development of databases started with the hierarchical databases, but in the late ’60s and early ’70s, network or CODASYL (Conference on Data Systems Languages) databases entered the scene, trying to solve the limitations of their predecessors. Notable among these Network databases are Integrated Data Store (IDS) and IDMS (Integrated Database Management System) – which you can learn more about at IDMS Database Books and Courses.
While these Network/CODASYL databases were significant advancements in their time, they were eventually surpassed by SQL (Structured Query Language) databases around the 1980s. So why did SQL databases gain preference over Network/CODASYL databases? Let’s explore.
1. User-Friendly Language: SQL databases offer a more user-friendly language for database interaction. SQL provides a higher level, English-like, declarative language that enables users to specify what data they want without explaining how to retrieve it. In contrast, network databases require a more procedural language, and users need to specify access paths for data retrieval.
2. Flexibility and Scalability: Network databases had complex pointers and linkages between databases that limited flexibility and scalability. SQL databases, on the other hand, provide a direct and standardized way to access data, which can be scaled with ease as the database grows in size.
3. Standardization: SQL, driven by IBM’s seminal product System R, ultimately became an industry standard, adopted by ANSI and ISO. This was not the case for CODASYL, and the lack of standardization led to difficulty moving data between different systems.
4. Relational Model: SQL databases use a relational model designed on mathematical set theory. This approach simplifies data manipulation and makes SQL databases more robust and reliable.
5. Enhanced Tools and Wider Community: SQL databases have a broader community of users and developers. Consequently, they enjoy robust community support, and better availability of tools and resources.
Given these advancements, SQL databases, like Oracle, DB2, and MySQL, quickly became the preferred choice for businesses during and since the 1980s. However, this does not mean that Network/CODASYL databases are obsolete. For instance, IDMS is still used in specific applications, particularly where complex many-to-many relationships exist, but they are undoubtedly less dominant than SQL databases. Understanding these historical shifts can provide valuable context for today’s database professionals and those looking to learn about legacy database systems at sources like IDMS Database Books and Courses.