Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
waleed111
Helper V
Helper V

normalization

what is the difference between normalization and denormalization?

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @waleed111 

Sr. No. Key Normalization Denormalization

1ImplementationNormalization is used to remove redundant data from the database and to store non-redundant and consistent data into it.Denormalization is used to combine multiple table data into one so that it can be queried quickly.
2FocusNormalization mainly focuses on clearing the database from unused data and to reduce the data redundancy and inconsistency.Denormalization on the other hand focus on to achieve the faster execution of the queries through introducing redundancy.
3Number of TablesDuring Normalization as data is reduced so a number of tables are deleted from the database hence tables are lesser in number.On another hand during Denormalization data is integrated into the same database and hence a number of tables to store that data increases in number.
4Memory consumptionNormalization uses optimized memory and hence faster in performance.On the other hand, Denormalization introduces some sort of wastage of memory.
5Data integrityNormalization maintains data integrity i.e. any addition or deletion of data from the table will not create any mismatch in the relationship of the tables.Denormalization does not maintain any data integrity.
6Where to useNormalization is generally used where number of insert/update/delete operations are performed and joins of those tables are not expensive.On the other hand Denormalization is used where joins are expensive and frequent query is executed on the tables.

View solution in original post

1 REPLY 1
Anonymous
Not applicable

Hi @waleed111 

Sr. No. Key Normalization Denormalization

1ImplementationNormalization is used to remove redundant data from the database and to store non-redundant and consistent data into it.Denormalization is used to combine multiple table data into one so that it can be queried quickly.
2FocusNormalization mainly focuses on clearing the database from unused data and to reduce the data redundancy and inconsistency.Denormalization on the other hand focus on to achieve the faster execution of the queries through introducing redundancy.
3Number of TablesDuring Normalization as data is reduced so a number of tables are deleted from the database hence tables are lesser in number.On another hand during Denormalization data is integrated into the same database and hence a number of tables to store that data increases in number.
4Memory consumptionNormalization uses optimized memory and hence faster in performance.On the other hand, Denormalization introduces some sort of wastage of memory.
5Data integrityNormalization maintains data integrity i.e. any addition or deletion of data from the table will not create any mismatch in the relationship of the tables.Denormalization does not maintain any data integrity.
6Where to useNormalization is generally used where number of insert/update/delete operations are performed and joins of those tables are not expensive.On the other hand Denormalization is used where joins are expensive and frequent query is executed on the tables.

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!

December 2025 Power BI Update Carousel

Power BI Monthly Update - December 2025

Check out the December 2025 Power BI Holiday Recap!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.