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Complete read-write access to Sage 50 UK enables developers to search (Customers, Transactions, Invoices, Sales Receipts, etc.), update items, edit customers, and more, from any Java/J2EE application.

Build Visualizations of Sage 50 UK Data in Birst



Use CData drivers and the Birst Cloud Agent to build real-time visualizations of Sage 50 UK data in Birst.

Birst is a cloud business intelligence (BI) tool and analytics platform that helps organizations quickly understand and optimize complex processes. When paired with the CData JDBC Driver for Sage 50 UK, you can connect to live Sage 50 UK data through the Birst Cloud Agent and build real-time visualizations. In this article, we walk you through, step-by-step, how to connect to Sage 50 UK using the Cloud Agent and create dynamic reports in Birst.

With powerful data processing capabilities, the CData JDBC Driver offers unmatched performance for live Sage 50 UK data operations in Birst. When you issue complex SQL queries from Birst to Sage 50 UK, the driver pushes supported SQL operations, like filters and aggregations, directly to Sage 50 UK and utilizes the embedded SQL Engine to process unsupported operations client-side (often SQL functions and JOIN operations). With built-in dynamic metadata querying, the JDBC driver enables you to visualize and analyze Sage 50 UK data using native Birst data types.

Configure a JDBC Connection to Sage 50 UK Data in Birst

Before creating the Birst project, you will need to install the Birst Cloud Agent (in order to work with the installed JDBC Driver). Also, copy the JAR file for the JDBC Driver (and the LIC file, if it exists) to the /drivers/ directory in the installation location for the Cloud Agent.

With the driver and Cloud Agent installed, you are ready to begin.

  1. Create a new project in Birst.
  2. Name the connection (e.g. CDataSage50UK).
  3. Choose Live Access.
  4. Select an agent.
  5. Set Database Type to Other.
  6. Set SQL Type to MSSQL
  7. Set the Connection string.

    Note: Only Sage 50 UK 2012 and above are supported.

    The User and Password properties, under the Connection section, must be set to valid Sage 50 UK user credentials. These values will be the same used to log in to the Sage 50 UK software.

    Additionally, the URL property, under the Connection section, will need to be set to the address of the company dataset desired. To obtain the address, do the following:

    1. If you have not already done so, open the Sage 50 UK software.
    2. Click Tools -> Internet Options.
    3. Select the SData Settings tab.
    4. Click the Details button next to Sage 50 Accounts. A window is displayed containing a list of company names along with the address to their corresponding datasets.
    5. Set the URL property to the value in the address field next to the company desired.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Sage 50 UK JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.sage50uk.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

    Below is a typical JDBC connection string for Sage 50 UK:

    jdbc:sage50uk:URL=http://your-server:5493/sdata/accounts50/GCRM/your-address;User=Manager;
  8. Set the Driver Name: cdata.jdbc.sage50uk.Sage50UKDriver and click Save.

NOTE: Since authentication to Sage 50 UK is managed from the connection string, you can leave Security Credentials blank.

Configure Sage 50 UK Data Objects

Now that the connection is configured, we are ready to configure the schema for the dataset, choosing the tables, views, and columns we wish to visualize.

  1. Select the Schema (e.g. Sage50UK).
  2. Click on Tables and/or Views to connect to those entities and click Apply.
  3. Select the Tables and Columns you want to access and click Done.

With the objects configured, you can perform any data preparation and discover any relationships in your data using the Pronto Prepare and Relate tools.

Build a Visualization

After you prepare your data and define relationships between the connected objects, you are ready to build your visualization.

  1. Select the Visualizer tool from the menu.
  2. Select Measures & Categories from your objects
  3. Select and configure the appropriate visualization for the Measure(s) you selected.

Using the CData JDBC Driver for Sage 50 UK with the Cloud Agent and Birst, you can easily create robust visualizations and reports on Sage 50 UK data. Download a free, 30-day trial and start building Birst visualizations today.