Views are virtual tables based on SQL queries. They don't store data themselves but display data from one or more tables. Tables store actual data, whereas views are essentially a stored query.
In SQL, both views and tables are used to organize and access data. However, they differ significantly in how they store and manage data. Tables directly hold the data, while views are essentially stored queries that select data from one or more tables. This means views don't physically store the data; instead, they present a specific subset of data from the underlying tables. Think of a view as a window into a portion of your database. You can perform queries on a view just as you would on a table, but the view's data is derived from the underlying tables. Views are useful for simplifying complex queries and providing different perspectives on the same data. They also improve security by restricting access to specific data subsets. Crucially, changes made to the underlying tables are reflected in the view, making views dynamic and responsive to data modifications. A key difference is that you cannot directly insert, update, or delete data in a view; these operations must be performed on the underlying tables.
Views are crucial for simplifying complex queries, improving security by restricting access to specific data subsets, and maintaining data consistency by reflecting changes in underlying tables.
A table physically stores rows of data on disk, whereas a view is a stored SELECT statement that returns a result set every time it is queried. Because a view holds no data itself, it simply “looks through” to the underlying tables and presents only the columns or rows defined in its query.
Views are ideal when you need to simplify complex joins, expose only a subset of sensitive columns, or provide different perspectives on the same dataset. They enhance security and maintainability by restricting access and centralizing business logic—all without duplicating data. Any change in the source tables automatically propagates to the view, so the output is always up-to-date.
Galaxy offers context-aware autocomplete, AI-generated query suggestions, and rich table metadata, allowing you to explore tables and create views quickly. When you open a view in Galaxy, the editor displays its defining query and underlying tables, so you can understand lineage, optimize performance, and collaborate with teammates without leaving the IDE.