Differences Between Views and Materialized Views in SQL
Last Updated :
02 Dec, 2024
When working with databases, views and materialized views are important tools for managing data effectively. Both have their unique characteristics, advantages and use cases. Understanding the differences can help us choose the best option for our requirements.
In this article, we will cover detailed explanations, practical examples, clear outputs and key differences between view and materialized view for better understanding.
Key Differences Between Views and Materialized Views
Following are the differences between the view and table:
Feature |
View |
Materialized View |
Definition |
A view is a virtual table created from a query, and it doesn’t store data physically. |
A materialized view stores the results of a query physically in the database for faster retrieval. |
Data Storage |
Only the query expression is stored; the result set is generated dynamically when the view is accessed. |
Query results are stored physically in the database, consuming additional storage space. |
Performance |
Slower for complex queries since the result set is computed dynamically on each access. |
Faster as results are precomputed and stored, reducing computation time. |
Update Behavior |
Automatically reflects changes in the underlying tables since data is retrieved dynamically. |
Needs manual or automatic refresh to update the stored data when underlying tables change. |
Storage Cost |
No additional storage cost since data is not physically stored. |
Requires extra storage as it saves query results. |
Maintenance Cost |
No maintenance cost, as views are dynamically updated with no stored data. |
Involves maintenance cost due to periodic refreshes to keep data synchronized with base tables. |
SQL Standards |
Fully standardized and supported by all major database systems. |
Not fully standardized; support and implementation vary across database systems. |
Use Cases |
Best for scenarios where data is accessed infrequently and requires up-to-date values. |
Ideal for frequently accessed data where performance is critical, such as reporting and analytics. |
What is a View in SQL?
A View is a virtual relation that acts as an actual relation. It is not a part of logical relational model of the database system. It is a virtual table created by a SQL query. It dynamically fetches data from the underlying tables whenever accessed, without storing the data physically in the database.
Characteristics of Views
- Dynamic Execution: Data is generated each time the view is accessed.
- No Physical Storage: Views only store the query definition.
- No Storage or Update Cost: Since no data is stored, no additional costs are involved.
- Use Cases: Useful for simplifying complex queries, enhancing data security, and creating a logical layer for specific users.
Syntax
CREATE VIEW view_name AS
SELECT column1, column2, ...
FROM table_name
WHERE condition;
What is a Materialized View in SQL?
A materialized view stores the result of a query physically in the database. It can be refreshed manually or automatically to reflect updates in the underlying tables. The process of keeping the materialized views updated is known as view maintenance. Database system uses one of the three ways to keep the materialized view updated:
- Update the materialized view as soon as the relation on which it is defined is updated.
- Update the materialized view every time the view is accessed.
- Update the materialized view periodically.
Characteristics of Materialized Views
- Physical Storage: Stores query results for faster data retrieval.
- Refresh Options: Can be refreshed immediately, on-demand, or periodically.
- Performance Benefits: Improves query performance for frequently accessed or large datasets.
- Storage and Update Costs: Requires additional space and incurs overhead for maintaining data consistency.
Syntax
CREATE MATERIALIZED VIEW materialized_view_name
BUILD [IMMEDIATE | DEFERRED]
REFRESH [FAST | COMPLETE | FORCE]
ON [COMMIT | DEMAND]
AS
SELECT column1, column2, ...
FROM table_name
WHERE condition;
Conclusion
Both views and materialized views are powerful tools in SQL for managing and optimizing data. While views are ideal for creating dynamic, virtual tables for occasional use, materialized views are better suited for scenarios requiring frequent access to precomputed results. By understanding their differences and use cases, we can improve our database design and performance.
Similar Reads
Differences between Views and Materialized Views in SQL
When working with databases, views and materialized views are important tools for managing data effectively. Both have their unique characteristics, advantages and use cases. Understanding the differences can help us choose the best option for our requirements. In this article, we will cover detaile
4 min read
Difference Between Views and Materialized Views in PL/SQL
In PL/SQL views play an important role in data accessibility, data manipulation, and query optimization. Views help restrict the user's data, which is not supposed to be accessed by a particular user. Views are instrumental in securing data by restricting the visibility of specific fields or rows ba
5 min read
Difference between Simple and Complex View in SQL
A View in SQL as a logical subset of data from one or more tables. Views are used to restrict data access. A View contains no data of its own but it is like a window through which data from tables can be viewed or changed. The table on which a View is based is called BASE Tables. There are 2 types o
2 min read
Difference Between View and Table
In the world of database management systems (DBMS), views and tables are fundamental concepts that help in storing and managing data efficiently. While both terms are used frequently, they serve distinct purposes within a relational database. Understanding the difference between a view and a table i
5 min read
Difference Between MySQL and MariaDB
MySQL and MariaDB are two popular relational database management systems (RDBMS) that share a common history but have evolved into distinct products with their own unique features and capabilities. Originally developed by MySQL AB, MySQL is now owned by Oracle Corporation, while MariaDB was forked f
3 min read
Difference between View and Cursor in SQL
1. View : A view is a virtual table that not actually exist in the database but it can be produced upon request by a particular user. A view is an object that gives the user a logical view of data from a base table we can restrict to what user can view by allowing them to see an only necessary colum
3 min read
Difference between SQLite and MS SQL Server
1. SQLite : SQLite is a software library that provides a relational database management system (RDBMS). It was designed by D. Richard Hipp in August 2000. The design goals of SQLite were to allow the program to be operated without installing a database management system(DBMS) or requiring a database
4 min read
Differences between SQL and SQLite
1. Structured Query Language (SQL) : SQL stands for Structured Query Language. SQL can access, created and manage databases. SQL has became standard of American National Standards Institute. 2. SQLite : SQLite is software which provides relational database management system. SQLite lightweight in te
2 min read
Difference between Oracle and MariaDB
1. Oracle: Oracle is commercial software developed by Oracle Corporation. Oracle widely uses RDBMS. Oracle allows quick and safe store and retrieval of data. It is used for running Online Transaction Processing and Data Warehousing. Oracle runs on the most major operating systems like Mac OS, Unix,
2 min read
Difference between T-SQL and PL-SQL
1. Transact SQL (T-SQL) : T-SQL is an abbreviation for Transact Structure Query Language. It is a product by Microsoft and is an extension of SQL Language which is used to interact with relational databases. It is considered to perform best with Microsoft SQL servers. T-SQL statements are used to pe
3 min read