Forum Discussion
Check data modeling size for each table
Hi,
Is there any field I can check the data table size?
Hi Anonymous
There isn’t a built-in field in Power BI Desktop that shows the size of each individual table in the data model.
One basic workaround is to copy a specific table into a new PBIX file, save it, and check the file size — but this only gives a rough approximation.
It’s also important to understand that total model size is not simply the sum of the table sizes. It depends on several factors, including:
-
Relationships between tables
-
Column cardinality (number of unique values)
-
Encoding method used (value vs. hash encoding)
-
Visuals, filters, and how the data is consumed in the report
For a more accurate and detailed analysis, you can use external tools like:
🔹 DAX Studio – Connect your model and run VertiPaq Analyzer, which gives you a full breakdown of table and column sizes, cardinality, compression rate, and more.
🔹 Tabular Editor – Also useful when working with larger models and optimizing metadata.If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
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1 Reply
- Ritaf1983Super User
Hi Anonymous
There isn’t a built-in field in Power BI Desktop that shows the size of each individual table in the data model.
One basic workaround is to copy a specific table into a new PBIX file, save it, and check the file size — but this only gives a rough approximation.
It’s also important to understand that total model size is not simply the sum of the table sizes. It depends on several factors, including:
-
Relationships between tables
-
Column cardinality (number of unique values)
-
Encoding method used (value vs. hash encoding)
-
Visuals, filters, and how the data is consumed in the report
For a more accurate and detailed analysis, you can use external tools like:
🔹 DAX Studio – Connect your model and run VertiPaq Analyzer, which gives you a full breakdown of table and column sizes, cardinality, compression rate, and more.
🔹 Tabular Editor – Also useful when working with larger models and optimizing metadata.If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
-