Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →
DataBind Neo4J Data to the DevExpress Data Grid
Use the CData ADO.NET Provider for Neo4J with the DevExpress Windows Forms and Web controls to provide Neo4J data to a chart.
The ADO.NET Provider for Neo4J by CData incorporates conventional ADO.NET data access components compatible with third-party controls. You can adhere to the standard ADO.NET data binding procedures to establish two-way access to real-time data through UI controls. This article will demonstrate the utilization of CData components for data binding with DevExpress UI Controls (Windows Forms and Web controls), specifically binding to a chart that visualizes live data.
To connect to Neo4j, set the following connection properties:
- Server: The server hosting the Neo4j instance.
- Port: The port on which the Neo4j service is running. The provider connects to port 7474 by default.
- User: The username of the user using the Neo4j instance.
- Password: The password of the user using the Neo4j instance.
Windows Forms Controls
The code below shows how to populate a DevExpress chart with Neo4J data. The Neo4jDataAdapter binds to the Series property of the chart control. The Diagram property of the control defines the x- and y-axes as the column names.
using (Neo4jConnection connection = new Neo4jConnection(
"Server=localhost;Port=7474;User=my_user;Password=my_password;")) {
Neo4jDataAdapter dataAdapter = new Neo4jDataAdapter(
"SELECT CategoryId, CategoryName FROM ProductCategory WHERE CategoryOwner = 'CData Software'", connection);
DataTable table = new DataTable();
dataAdapter.Fill(table);
DevExpress.XtraCharts.Series series = new DevExpress.XtraCharts.Series();
chartControl1.Series.Add(series);
series.DataSource = table;
series.ValueDataMembers.AddRange(new string[] { "CategoryName" });
series.ArgumentScaleType = DevExpress.XtraCharts.ScaleType.Qualitative;
series.ArgumentDataMember = "CategoryId";
series.ValueScaleType = DevExpress.XtraCharts.ScaleType.Numerical;
chartControl1.Legend.Visibility = DevExpress.Utils.DefaultBoolean.False;
((DevExpress.XtraCharts.SideBySideBarSeriesView)series.View).ColorEach = true;
}
Web Controls
The code below shows how to populate a DevExpress Web control with Neo4J data. The Neo4jDataAdapter binds to the Series property of the chart; the Diagram property defines the x- and y-axes as the column names.
using DevExpress.XtraCharts;
using (Neo4jConnection connection = new Neo4jConnection(
"Server=localhost;Port=7474;User=my_user;Password=my_password;"))
{
Neo4jDataAdapter Neo4jDataAdapter1 = new Neo4jDataAdapter("SELECT CategoryId, CategoryName FROM ProductCategory WHERE CategoryOwner = 'CData Software'", connection);
DataTable table = new DataTable();
Neo4jDataAdapter1.Fill(table);
DevExpress.XtraCharts.Series series = new Series("Series1", ViewType.Bar);
WebChartControl1.Series.Add(series);
series.DataSource = table;
series.ValueDataMembers.AddRange(new string[] { "CategoryName" });
series.ArgumentScaleType = ScaleType.Qualitative;
series.ArgumentDataMember = "CategoryId";
series.ValueScaleType = ScaleType.Numerical;
((DevExpress.XtraCharts.SideBySideBarSeriesView)series.View).ColorEach = true;
}
Ready to get started?
Download a free trial of the Neo4J Data Provider to get started:
Download NowLearn more:
Neo4J ADO.NET Provider
Rapidly create and deploy powerful .NET applications that integrate with Neo4J.
