Query QuickBooks Data in MySQL Workbench

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CData Connect



Create a virtual MySQL database for QuickBooks data in CData Connect (or Connect Cloud) and work with live QuickBooks data in MySQL Workbench.

MySQL Workbench allows users to administer MySQL environments and gain better visibility into databases. When paired with CData Connect (on-premise or Connect Cloud), you get live access to QuickBooks data as if it were a MySQL database. This article shows how to create a virtual database for QuickBooks in Connect and work with live QuickBooks data in MySQL Workbench.

Create a Virtual MySQL Database for QuickBooks Data

CData Connect uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect and click Databases.
  2. Select "QuickBooks" from Available Data Sources.
  3. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to QuickBooks from MySQL Workbench.

Query QuickBooks from MySQL Workbench

The steps below outline connecting to the virtual QuickBooks database in Connect from MySQL Workbench and issuing basic queries to work with live QuickBooks data.

Connect to QuickBooks through Connect

  1. In MySQL Workbench, click to add a new MySQL connection.
  2. Name the connection (CData Connect).
  3. Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
  4. Click Store in Vault to set and store the password.
  5. Click Test Connection to ensure the connection is configured properly and click OK.

Query QuickBooks Data

  1. Open the connection you just created (CData Connect).
  2. Click File -> New Query Tab.
  3. Write a SQL query to retrieve QuickBooks data, like SELECT * FROM quickbooksdb.Customers;

With access to live QuickBooks data from MySQL Workbench, you can easily query and update QuickBooks, just like you would a MySQL database. Request a demo of the CData Connect and start working with QuickBooks as a cloud-based MySQL database today.