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

Calling all Data Engineers! Fabric Data Engineer (Exam DP-700) live sessions are back! Starting October 16th. Sign up.

Reply
frithjof_v
Super User
Super User

Pandas in Fabric - Data size limit

Hi,

 

What is the data size limit for working with Pandas dataframes in a Fabric notebook?

 

Does it depend on the F SKU size?

(E.g. F4 vs F64)

 

What happens if we go above the limit? 

 

Thanks in advance!

1 ACCEPTED SOLUTION
frithjof_v
Super User
Super User
3 REPLIES 3
frithjof_v
Super User
Super User

Anonymous
Not applicable

Hi @frithjof_v ,

As I understand it, the data size limit for using Pandas data frames in a Fabric notebook is largely dependent on the memory available in the environment. the F64 has more memory and can also handle larger data frames more efficiently.

 

If the memory limit of the environment is exceeded, the notebook may become very slow or unresponsive. It may even encounter memory errors that cause the operation to fail.

 

I don't see any official documentation mentioning or describing the limitations in detail, so maybe you could consider proposing an idea and waiting for users with similar needs to vote for your idea.

 

Best Regards,

Ada Wang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Thanks @Anonymous ,

However, this is a question, not an idea suggestion. 

I will wait to see if some users can help to answer my question here ☺️

Helpful resources

Announcements
FabCon Global Hackathon Carousel

FabCon Global Hackathon

Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes!

September Fabric Update Carousel

Fabric Monthly Update - September 2025

Check out the September 2025 Fabric update to learn about new features.

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.

Top Kudoed Authors