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The JSON ODBC Driver is a powerful tool that allows you to connect with live JSON web services, directly from any applications that support ODBC connectivity.

Access JSON services like you would any standard database - read, write, and update etc. through a standard ODBC Driver interface.

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Update JSON Services with a Microsoft Access Linked Table


Update JSON data by creating a linked table in Microsoft Access with the CData JSON ODBC Driver.

CData ODBC drivers connect your data to any database management tool that supports Open Database Connectivity (ODBC). This includes many of the most popular productivity tools, adding new capabilities for document sharing and collaboration. Using the CData ODBC driver for JSON, you can update live JSON services in Microsoft Access; for example, you can make updates that can be immediately seen by other users.

Connect to JSON as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

After setting the URI and providing any authentication values, set DataModel to more closely match the data representation to the structure of your data.

The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

  • Document (default): Model a top-level, document view of your JSON data. The data provider returns nested elements as aggregates of data.
  • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
  • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

See the Modeling JSON Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

Create a Linked Table to people Data

Follow the steps below to create a linked table, which enables you to access live people data.

  1. On the External Data tab in Access, click ODBC Database.
  2. Select the option to link to the data source. A linked table will enable you to read from and write data to the people table.

  3. Select the CData JSON data source from the Machine Data Source tab.

  4. Select the people table. For more information on this table, see the "Data Model" chapter in the help documentation.

  5. Double-click the linked table to make edits. The linked table will always have up-to-date data and any changes will be reflected back to the underlying table.