Why the world's most popular database language is technically a broken standard

Countries & Cities · Published 29 September 2026 Swipe more like this →

In short: SQL is the universal tongue of data, yet it is notoriously difficult to port between systems. Despite decades of formal standardization, no major database vendor fully adheres to the rules. This fragmentation persists because vendors prioritize backward compatibility and performance over the rigid, often ambiguous, requirements of the official standard.

Developed at IBM in the early 1970s by Donald D. Chamberlin and Raymond F. Boyce, SQL was designed to interact with the relational model proposed by Edgar F. Codd. Originally dubbed SEQUEL, the language was intended to simplify data management by allowing users to retrieve multiple records with a single command, removing the need to manually navigate indices. By the time it became an ANSI standard in 1986 and an ISO standard in 1987, it had already become the industry default, largely due to IBM's commercial push with products like Db2.

However, the path to a unified language hit a wall. The SQL standard is vast and complex, and it often leaves critical behaviors—such as file storage or indexing—entirely undefined. Furthermore, the standard’s semantic specifications can be ambiguous. When new versions of the standard conflict with existing database behaviors, vendors frequently choose to maintain backward compatibility for their massive customer bases rather than force updates that might break legacy applications. Consequently, vendors like Oracle and Microsoft have historically omitted or altered core features, such as specific date and time data types, to suit their own architectures.

This lack of portability is reinforced by a lack of commercial incentive; vendors have little reason to make it easy for customers to switch to a competitor. Since 1996, the responsibility for compliance has shifted from the National Institute of Standards and Technology to the vendors themselves, who now self-certify their products. Today, while SQL remains the backbone of modern data operations, it functions more as a family of related dialects than a single, strictly enforced language. Developers must navigate these subtle, vendor-specific quirks, as code written for one system rarely migrates to another without significant modification.

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