The `!=` or `<>` operator in SQL is used to check if two values are not equal. It's a fundamental comparison operator used in WHERE clauses to filter data based on inequality.
The `!=` (not equal to) or `<>` (not equal to) operator is a crucial part of SQL's comparison capabilities. It allows you to filter records in a table based on whether a specific column's value does not match a given value. This is essential for tasks like finding all customers who haven't placed an order yet, or identifying products that are not in stock. The `!=` and `<>` operators are functionally equivalent and interchangeable in most SQL dialects. Using these operators in a `WHERE` clause is a common practice to extract specific data subsets from a table. For instance, you might want to retrieve all employees whose salary is not equal to a certain amount. The operator's simplicity belies its importance in data retrieval and manipulation.
The `!=` or `<>` operator is fundamental for filtering data based on conditions. It's a core component of data retrieval and manipulation, enabling developers to extract specific subsets of data from a database. This operator is crucial for tasks ranging from simple data analysis to complex data manipulation.
Yes. Both `!=` and `<>` represent the “not equal to” comparison in standard SQL, and most engines—including PostgreSQL, MySQL, SQL Server, and SQLite—treat them as synonyms. The main exception is Oracle, which officially documents only `<>` (although `!=` is usually parsed fine). If you want maximum portability across every vendor, use `<>`; otherwise you can pick the one you find more readable.
The NOT EQUAL comparison is perfect for exclusion-based questions, such as identifying customers who have not placed an order, products that are not in stock, or employees whose salary differs from a benchmark. By putting `!=` or `<>` inside the `WHERE` clause you can instantly remove matching rows and focus on the outliers that require attention.
Galaxy’s context-aware AI copilot autocompletes the proper syntax for `!=` / `<>`, suggests additional predicates, and even renames columns for clarity. Once your filter is in place, you can save the query to a Collection, endorse it for teammates, and avoid copying snippets into Slack or Notion. The result is faster authoring and a single source of truth for “not equal” analyses.