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Get the Report →Connect to NetSuite Data in NetBeans
Connect to NetSuite data in NetBeans with the data source configuration wizard.
The CData JDBC Driver for NetSuite integrates connectivity to live NetSuite data in IDEs that support JDBC. The JDBC standard enables you to use built-in data access wizards and other tools supporting rapid development. This article shows how to connect to NetSuite data in NetBeans. You will create a connection and edit and save NetSuite data in the Table Editor.
About NetSuite Data Integration
CData provides the easiest way to access and integrate live data from Oracle NetSuite. Customers use CData connectivity to:
- Access all editions of NetSuite, including Standard, CRM, and OneWorld.
- Connect with all versions of the SuiteTalk API (SOAP-based) and SuiteQL, which functions like SQL, enabling easier data querying and manipulation.
- Access predefined and custom reports through support for Saved Searches.
- Securely authenticate with Token-based and OAuth 2.0, ensuring compatibility and security for all use cases.
- Use SQL stored procedures to perform functional actions like uploading or downloading files, attaching or detaching records or relationships, retrieving roles, getting extra table or column info, getting job results, and more.
Customers use CData solutions to access live NetSuite data from their preferred analytics tools, Power BI and Excel. They also use CData's solutions to integrate their NetSuite data into comprehensive databases and data warehouse using CData Sync directly or leveraging CData's compatibility with other applications like Azure Data Factory. CData also helps Oracle NetSuite customers easily write apps that can pull data from and push data to NetSuite, allowing organizations to integrate data from other sources with NetSuite.
For more information about our Oracle NetSuite solutions, read our blog: Drivers in Focus Part 2: Replicating and Consolidating ... NetSuite Accounting Data.
Getting Started
Create a JDBC Data Source for NetSuite in NetBeans
To create the JDBC data source, expand the Database node in the Service window, right-click the Drivers node, and select New Driver. In the New Driver wizard that results, enter the following information:
- Driver File(s): Click Add and, in the file explorer dialog that appears, select the cdata.jdbc.netsuite.jar file. The driver JAR is located in the lib subfolder of the installation directory.
- Driver Class: Click Find to search for the driver class inside the JAR. Then select cdata.jdbc.netsuite.NetSuiteDriver from the menu.
- Name: Enter the name for the driver.
Define Connection Parameters
Follow the steps below to define required connection properties:
In the Service window, right-click the Database node and click New Connection.
In the New Connection Wizard, enter the following connection properties:
- Driver Name: In the menu, select the CData JDBC Driver for NetSuite.
- User Name: Enter the username. This can also be defined in the JDBC URL.
- Password: Enter the password. This can also be defined in the JDBC URL.
JDBC URL: Specify the JDBC URL.
The User and Password properties, under the Authentication section, must be set to valid NetSuite user credentials. In addition, the AccountId must be set to the ID of a company account that can be used by the specified User. The RoleId can be optionally specified to log in the user with limited permissions.
See the "Getting Started" chapter of the help documentation for more information on connecting to NetSuite.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the NetSuite JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.netsuite.jar
Fill in the connection properties and copy the connection string to the clipboard.
A typical JDBC URL is the following:
jdbc:netsuite:Account Id=XABC123456;Password=password;User=user;Role Id=3;Version=2013_1;
Query NetSuite Data
To connect to NetSuite data, right-click the connection in the Database node and click Connect. After the connection is established, you can expand it to discover schema information.
To load a table in the Data Views window, right-click the table and then click View Data. You can also insert, update, or delete records in the Data Views window.