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

Score big with last-minute savings on the final tickets to FabCon Vienna. Secure your discount

Reply
Anonymous
Not applicable

Power Query Vs SQL Efficiency

Hi all,

 

I have a bit of experience with both sql and power query and I was wondering what uses less computing power and bandwidth: querying with SQL or power query.

 

For example if I was going to select dog type, dog cost and dog breed from a million row DB for the time range 2017 to now, is it roughly the same time and power to do this with power query and SQL? are there positives and negatives Im not aware of?

 

Thanks!

1 ACCEPTED SOLUTION
AkhilAshok
Solution Sage
Solution Sage

When connecting to SQL DB, Power Query tries to do Query Folding and tries to push maximum logics to data source, means the time take in Power Query and SQL will be the same in such cases. In your example, ideally Power Query should just trigger a SQL with a where clause for the time filter. You can see this by checking "View Native Query" option. 

 

In case you do some transformations which PQ cannot convert to SQL, then it will take more time to process, since PQ has to bring in all the data and do the Transofrmation on its side.

View solution in original post

1 REPLY 1
AkhilAshok
Solution Sage
Solution Sage

When connecting to SQL DB, Power Query tries to do Query Folding and tries to push maximum logics to data source, means the time take in Power Query and SQL will be the same in such cases. In your example, ideally Power Query should just trigger a SQL with a where clause for the time filter. You can see this by checking "View Native Query" option. 

 

In case you do some transformations which PQ cannot convert to SQL, then it will take more time to process, since PQ has to bring in all the data and do the Transofrmation on its side.

Helpful resources

Announcements
August Power BI Update Carousel

Power BI Monthly Update - August 2025

Check out the August 2025 Power BI update to learn about new features.

August 2025 community update carousel

Fabric Community Update - August 2025

Find out what's new and trending in the Fabric community.