How does Excel perform with millions of rows of data ? Is it possible to tackle a report of millions of rows with Excel and a normal laptop ?
The hardware I am using to handle the data is Intel core i5-6200 CPU @ 2,30 GHz and 6 GB of ram. The hard disk is a solid state drive.
I downloaded data from this page https://www.mavenanalytics.io/data-playground . Thanks for Maven Analytics for providing this data.
Let’s test.
Download the data first to your hard drive.

Then get data to your data model.

When loading the data, it is useful to check the headers. If Power query has not defined the headers correctly, press “Use first row as headers” in home -transform.

It took around six minutes to download the flight data, close to 6 M records, to the data model from hard disk. This means around one million records in a minute.
One transaction table and three lookup tables. Only the flights transaction table is massive.

Relationships.

Relationships in diagram view.

Create a pivot sitting on top of the data model.
Create a measure.

Summing the security delays.

Pivot selections.

The results.
The idea of this blog text was to test briefly how Excel with a normal laptop could handle millions of rows of data. Uploading the large table to data model took time, but once that was done, the rest went smoothly. Power Query and Power Pivot are scalable products which can handle reasonable large data amounts.
If you want to analyze a large data temporarily, Excel can do it according to my test. This test was not to play around with data, but just make short sample to see if tools and hardware can take the load.






