Connect to Amazon Marketplace Data from HeidiSQL

HeidiSQL is an open-source database administration tool that natively supports MariaDB, MySQL, SQL Server, and PostgreSQL. When paired with CData Connect AI, HediSQL reach extends to include access to live Amazon Marketplace data. This article demonstrates how to connect to Amazon Marketplace using Connect AI and query Amazon Marketplace data in HeidiSQL.

CData Connect AI provides a pure SQL Server interface for Amazon Marketplace, allowing you to query data from Amazon Marketplace without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Amazon Marketplace, leveraging server-side processing to return the requested Amazon Marketplace data quickly.

Configure Amazon Marketplace Connectivity for HeidiSQL

Connectivity to Amazon Marketplace from HeidiSQL is made possible through CData Connect AI. To work with Amazon Marketplace data from HeidiSQL, we start by creating and configuring a Amazon Marketplace connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Amazon Marketplace" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Amazon Marketplace.

   To connect to the Amazon Marketplace Webservice (MWS), AWSAccessKeyId, MWSAuthToken, AWSSecretKey and SellerId are required. You can optionally set the Marketplace property. For more information on obtaining values for these properties, refer to the Help documentation.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Amazon Marketplace Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Amazon Marketplace data from HeidiSQL.

Connect to Amazon Marketplace from HeidiSQL using Connect AI

To establish a connection from HeidiSQL to the CData Connect AI Virtual SQL Server API, follow these steps.

Create a new HeidiSQL Session

1. In the Session Manager, select New in the bottom-left
2. Give the new session a descriptive name, e.g. Connect-Cloud-Amazon Marketplace
👁 Creating a new session in HeidiSQL.

Configure a SQL Server Connection to Connect AI

1. In the session settings, set the Network type to Microsoft SQL Server (TCP/IP)
2. The Library DLL should automatically update to MSOLEDBSQL
3. Set the Hostname/IP to tds.cdata.com
4. Set the User to your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected]
5. Set the Password to your PAT created in Connect AI in the previous section.
6. Set the Port to 14333 👁 Configuring a SQL Server connection to Connect AI
   

Query Amazon Marketplace from HeidiSQL

1. In the database listing on the left, find your connection to Amazon Marketplace configured earlier.
2. Expand this connection to view individual tables or data objects present within Amazon Marketplace.
3. Write custom SQL queries targeting these tables, treating the data source like any SQL Server database, or visually explore each tabular data set by selecting the relevant tables 👁 Querying within HeidiSQL.
   

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect AI today!