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Home/ Questions/Q 1019063
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Editorial Team
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Editorial Team
Asked: May 16, 20262026-05-16T10:57:12+00:00 2026-05-16T10:57:12+00:00

I have a windows form that has two DataGridViews (DGVs) that will hold 25,000+

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I have a windows form that has two DataGridViews (DGVs) that will hold 25,000+ records and 21 columns each. I have successfully loaded each with the data from the DB using a DataAdapter and then I tried simply filling the DGVs using for loops. Each method took roughly the same amount of time. The first time the data is filled into the DGVs it takes too long (7+ mins), and then the subsequent times the time is much more reasonable (~30 secs). So my question is, what is the best way to load a DGV with a large amount of data that will take on average <= 1 min? I really like the functionality of DGVs, but if push comes to shove I am willing to use a different technology, even if it means giving up some of that functionality.

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  1. Editorial Team
    Editorial Team
    2026-05-16T10:57:13+00:00Added an answer on May 16, 2026 at 10:57 am

    There are basically 3 ways to display data in a DataGridView

    • Create the rows manually in a loop, as you are currently doing: as you have noticed, it’s very inefficient if you have a lot of data

    • Use the DataGridView‘s virtual mode, as suggested by Jonathan in his comment: the DGV only creates as many rows as can be displayed, and dynamically changes their contents when the user scrolls. You need to handle the CellValueNeeded event to provide the required data to the DGV

    • Use databinding: that’s by far the easiest way. You just fill a DataTable with the data from the database using a DbDataAdapter, and you assign this DataTable to the DGV’s DataSource property. The DGV can automatically create the columns (AutoGenerateColumns = true), or you can create them manually (you must set the DataPropertyName of the column to the name of the field you want to display). In databound mode, the DGV works like in virtual mode except that it takes care of fetching the data from the datasource, so you don’t have anything to do. It’s very efficient even for a large number of rows

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