The Tool Desk
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What keeps SQL relevant?
SQL is a declarative language: a query describes the desired result, and the database chooses an execution plan. That separates many application needs from the mechanics of retrieving rows, while leaving room to tune performance with indexes, statistics, and query planning.
SQL also provides a shared interface across relational systems such as PostgreSQL, MySQL, SQL Server, Oracle, and SQLite. Their syntax and behavior are not identical, but transferable concepts and skills reduce the friction of moving between tools and teams.
Why does SQL fit business data so well?
Rules live with the data
Relational databases can enforce primary keys, foreign keys, uniqueness, and nullability. Transactions help group related changes so that an operation can succeed or fail as a unit. These features are valuable wherever records must remain consistent—for example, when an order, payment, and inventory change need to agree.
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Performance can improve without rewriting the application
Indexes and query optimizers let database teams improve how data is accessed while keeping the logical query interface. PostgreSQL documents index types including B-tree, multicolumn, partial, GiST, GIN, and BRIN, alongside a sophisticated query planner. The useful choice depends on the workload and data shape; adding an index is not automatically beneficial, since indexes also require storage and maintenance.
The model has grown beyond tables alone
Relational systems can support richer data types alongside rows and columns. PostgreSQL, for example, supports arrays, JSON and JSONB, XML, ranges, UUIDs, and custom types. This flexibility can handle document-like fields without giving up relational constraints and query capabilities for the parts of an application that need them.
Is SQL outdated because of NoSQL?
No. SQL and NoSQL systems make different trade-offs rather than forming a simple old-versus-new contest. Relational databases are often a strong fit when relationships, transactions, and integrity rules matter. A specialized store may suit a workload built around different access patterns or scaling needs. The decision should consider data-model flexibility, transaction guarantees, query expressiveness, horizontal scaling, operational complexity, ecosystem and hiring depth, portability, and whether the work is transactional or analytical.
Some systems can also bridge architectures. PostgreSQL documents foreign-data wrappers that provide a standard SQL interface to other databases or streams. That can let SQL remain a coordinating interface in a mixed environment, although it does not make every external source behave exactly like a native relational table.
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Stack Overflow’s developer survey figures show continued use among respondents, not a census of all developers. In the 2024 survey, 51% reported using SQL, and PostgreSQL was used by 49% of respondents and ranked as the most popular database for the second year in a row. See the 2024 survey results.
Stack Overflow’s 2025 survey press release reported SQL usage at 59%. PostgreSQL ranked highest for developers who wanted to use it in the next year (47%) and those who had used it and wanted to continue (66%). These measures describe survey respondents and should not be read as universal adoption rates. Read Stack Overflow’s 2025 survey announcement.
Does SQL portability mean databases are interchangeable?
No. Core SQL concepts travel well, but implementations add vendor-specific syntax and features, and execution behavior can differ. PostgreSQL’s project says that PostgreSQL 18, released in September 2025, conforms to at least 170 of the 177 mandatory SQL:2023 Core features; it also says no relational database fully conforms to that standard. The figure shows substantial but incomplete conformance, not a guarantee that a query or application can move unchanged between products. PostgreSQL’s overview and standards information.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Should you learn SQL in 2026?
For most people who expect to work with structured data, SQL remains a practical skill to learn. It applies across database products and is used in application development, reporting, and analytics. Start with selecting and filtering rows, joins, grouping and aggregation, then learn data changes, constraints, transactions, and how to inspect query plans. Add the dialect-specific features of the database you actually use.
PostgreSQL’s official description calls it an open-source object-relational database system that uses and extends SQL and supports complex workloads. That combination captures SQL’s staying power: the language offers a familiar interface, while database engines continue to add capabilities around it. Learn more about PostgreSQL.
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