14 Difference Between Materialized View And View In Database

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What Is Materialized View?

In computing, a materialized view is a database object that contains the results of a query. For example, it may be a local copy of data located remotely or may be a subset of the rows and or columns of a table or join result or may be a summary using an aggregate function.

Materialized views can be used for many purposes, including:

  • Denormalization
  • Validation
  • Data Warehousing
  • Replication

What You Need To Know About Materialized View

  1. Materialized views are physical copies of origin tables contained by a database.
  2. Materialized views are non-virtual schema. It is a common part of database warehousing. It is primarily used for summarizing, pre-computing, replicating and distributing data etc.
  3. A materialized view is capable of storing data. It makes accessibility to data a faster process.
  4. Materialized views have to be updated with the use of triggers or manually.
  5. Materialized views are stored on the disc.
  6. A materialized view is capable of being stored in a different database or the same database as the base table (s).
  7. There is no SQL standard for defining a materialized view and the functionality is provided by some database systems as an extension.
  8. The rowid is different in case of materialized views.
  9. A materialized view is fast in processing. A materialized view log serves as a schema object that records all changes on to the data contained in a master table and can be refreshed incrementally.
  10. A materialized view does not reflect real-time data. The data is only as up to date as the last time the materialized view was refreshed.
  11. A materialized view is best utilized when you have a really big table and people do frequent aggregates on it and you require fast response.
  12. A materialized view is a ‘’pre-answered’’ query- the query is executed when the materialized view is refreshed. Its result is stored in the database and the query only browses the result.
  13. DML commands are capable of being made in materialized views.
  14. Materialized views are efficient when the view is accessed frequently.

View

Views in database are kind of logical virtual tables.  It is actually a composition of a table in the form of a predetermined SQL query. A view also has rows and columns as they are in real table in the database. We can create a view by selecting fields from one or more tables present in the database which depends on the written SQL query to create a view. A view can either have all the rows of a table or specific rows based on certain conditions.

Views, which are a type of virtual tables, allow users to do the following:

  • Structure data in a way that users or classes of users find natural or intuitive.
  • Restrict access to the data in such a way that a user can see and sometimes modify exactly what they need and no more.
  • Summarize data from various tables which can be used to generate reports.

What You Need To Know About View

  1. Views are virtual tables that are developed from a single/multiple views or tables.
  2. Views are the virtual projections of an output query or the dynamic view of data in a database that is presented to the user whenever requested.
  3. Views are not capable of storing any data, they only point to the data that has to be viewed.
  4. Views are automatically updated every time a virtual view/table is put to use.
  5. Views are not stored physically on the disk.
  6. A view is capable of being used in the places wherever a table can be put to use.
  7. There is an SQL standard of defining a view.
  8. When a view is created with the use of any table, then the rowed of the view will be same as the rowed of the original table.
  9. Views are slow to process.
  10. A view’s output is built on the fly; it shows real-time data from the base tables being queried.
  11. A view is best utilized when you want to hide the implementation details of a complex query or when you want to restrict access to a set of rows/columns in the base tables.
  12. A view’s SQL is executed at run-time. The results are fetched from the view’s base tables when the view is queried.
  13. In simple views, DML commands are not a possibility in case they are made using multiple tables.
  14. Views are useful when the view is accessed infrequently.

Also Read: Difference Between Normalization And Denormalization In SQL

Difference Between Materialized View And View In Tabular Form

BASIS OF COMPARISON MATERIALIZED VIEW VIEW
Definition Materialized views are physical copies of origin tables contained by a database.   Views are virtual tables that are developed from a single/multiple views or tables.  
Description Materialized views are non-virtual schema. It is a common part of database warehousing. It is primarily used for summarizing, pre-computing, replicating and distributing data etc.   Views are the virtual projections of an output query or the dynamic view of data in a database that is presented to the user whenever requested.  
Capability A materialized view is capable of storing data. It makes accessibility to data a faster process.   Views are not capable of storing any data, they only point to the data that has to be viewed.  
Updating Materialized views have to be updated with the use of triggers or manually.   Views are automatically updated every time a virtual view/table is put to use.  
Disk Storage Materialized views are stored on the disc.   Views are not stored physically on the disk.  
Storage Capability A materialized view is capable of being stored in a different database or the same database as the base table (s).   A view is capable of being used in the places wherever a table can be put to use.  
SQL Definition Standard There is no SQL standard for defining a materialized view and the functionality is provided by some database systems as an extension.   There is an SQL standard of defining a view.  
Creation The rowid is different in case of materialized views.   When a view is created with the use of any table, then the rowed of the view will be same as the rowed of the original table.  
Processing Speed A materialized view is fast in processing. Views are slow to process.  
Real-time Data A materialized view does not reflect real-time data. The data is only as up to date as the last time the materialized view was refreshed.   A view’s output is built on the fly; it shows real-time data from the base tables being queried.  
Efficient Utilization A materialized view is best utilized when you have a really big table and people do frequent aggregates on it and you require fast response.   A view is best utilized when you want to hide the implementation details of a complex query or when you want to restrict access to a set of rows/columns in the base tables.  
Execution A materialized view is a ‘’pre-answered’’ query- the query is executed when the materialized view is refreshed. Its result is stored in the database and the query only browses the result.   A view’s SQL is executed at run-time. The results are fetched from the view’s base tables when the view is queried.  
DML Commands DML commands are capable of being made in materialized views.   In simple views, DML commands are not a possibility in case they are made using multiple tables.  
Access Materialized views are efficient when the view is accessed frequently.   Views are useful when the view is accessed infrequently.  

Also Read: Difference Between MongoDB And RDBMS