Large Data Source

 
Quantity
Unit Price
Year
Quarter
Month
Product Name
Sales Person Name
2023
Q1
Q1 Total
Q2
Q2 Total
Q3
January February March April May June July August
Quantity Unit Price Quantity Unit Price Quantity Unit Price Quantity Unit Price Quantity Unit Price Quantity Unit Price Quantity Unit Price Quantity Unit Price Quantity Unit Price Quantity Unit Price
Amazing Armchair
Alex Black
98$551.1298$551.12
Alex Brown
75$438.3875$438.3867$286.8267$286.82101$873.22
Alex Burton
79$542.9379$542.9397$411.08
Alex Cooper
236$1,090.55236$1,090.5572$275.3472$275.3423$367.71
Alex Douglas
135$578.88135$578.88213$1,229.35213$1,229.3582$351.5653$421.90
Alex Fox
51$385.6362$319.89113$705.5294$195.1289$184.17183$379.2975$159.67
Alex Parker
163$616.87163$616.8779$380.1379$380.1363$317.60
Alex Simpson
70$375.8170$375.8194$156.75
Alex White
51$655.6251$655.6242$345.8969$655.29111$1,001.1729$391.23134$567.81
Alice Burton
87$261.1887$261.1822$206.6037$260.1059$466.70
Alice Parker
85$357.1785$357.17
Alice White
44$273.3911$388.2255$661.6144$531.0544$531.0579$313.3316$411.16
Curtis Brown
136$995.4958$246.09194$1,241.583$148.913$148.91
Curtis Burton
89$585.0833$175.9289$349.09211$1,110.09104$471.6836$320.57140$792.2542$299.09
Curtis Cooper
136$783.24104$973.69240$1,756.9337$162.55
Curtis Fox
8$354.328$354.32
Curtis Hunter
47$245.1586$420.56133$665.7163$277.0163$277.0196$394.2286$187.60
Curtis Parker
45$166.9945$166.9967$235.6467$235.645$315.91
Curtis Smith
80$348.5580$348.5517$238.62
Curtis Walker
75$729.5251$420.3310$177.47136$1,327.3213$223.6817$157.68137$623.07167$1,004.43

Our Blazor Pivot Table can aggregate large data sources efficiently and allows users to navigate and sort data with ease.

This demo allows you to test Pivot Table performance when bound to a data source with thousands of rows.

To optimize component performance against large datasets, this demo uses column and row virtualization. When you activate the VirtualScrollingEnabled option, the DevExpress Blazor Pivot Table renders data on demand as users scroll through rows/columns.