Ready to get started?

Learn more or sign up for a free trial:

CData Connect Server

Query Reckon Data in MySQL Workbench

Create a virtual MySQL database for Reckon data in CData Connect (or Connect Server) and work with live Reckon 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 Server), you get live access to Reckon data as if it were a MySQL database. This article shows how to create a virtual database for Reckon in Connect and work with live Reckon data in MySQL Workbench.

Create a Virtual MySQL Database for Reckon Data

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

  1. Login to Connect and click Connections.
  2. Select "Reckon" 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 Reckon from MySQL Workbench.

Query Reckon from MySQL Workbench

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

Connect to Reckon 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 Reckon Data

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

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