Crystal Reports is a business intelligence application by SAP designed to help you analyze your data with well-formatted,
pixel-perfect, and multi-page reports. When paired with CData Connect AI, Crystal Reports gets access to live Snowflake data.
This article demonstrates how to connect to Snowflake using Connect AI and report on Snowflake data in Crystal Reports.
CData Connect AI provides a pure SQL Server interface for Snowflake, allowing you to query data from
Snowflake 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 Snowflake, leveraging server-side processing to return the
requested Snowflake data quickly.
About Snowflake Data Integration
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
- Reads and write Snowflake data quickly and efficiently.
- Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
- Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.
Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.
For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.
Getting Started
Configure Snowflake Connectivity for Crystal Reports
Connectivity to Snowflake from Crystal Reports is made possible through CData Connect AI. To work with Snowflake data from Crystal Reports, we start by creating and configuring a Snowflake connection.
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Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection
- Select "Snowflake" from the Add Connection panel
👁 Selecting a data source
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Enter the necessary authentication properties to connect to Snowflake.
To connect to Snowflake:
- Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
- Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
- Set Warehouse to the Snowflake warehouse.
- (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
- (Optional) Set Database and Schema to restrict the tables and views exposed.
- (Optional) If MFA is enabled on your Snowflake account (via Duo Security), set MFACode to the passcode generated by your Duo authenticator app.
See the Getting Started guide in the CData driver documentation for more information.
👁 Configuring a connection (Salesforce is shown)
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Click Save & Test
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Navigate to the Permissions tab in the Add Snowflake 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.
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Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
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On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
👁 Creating a new PAT
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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 Snowflake data from Crystal Reports.
Connect to Snowflake from Crystal Reports using Connect AI
To establish a connection from Crystal Reports to CData Connect AI, you will need to download the JDBC driver.
- Open the Client Tools page of CData Connect AI.
- Search for and select JDBC.
- Download and run the setup file.
- When the installation is complete, locate the JDBC Connect JAR file in the JDBC driver's installation directory, for example, C:\Program Files\CData\JDBC Driver for CData Connect\lib.
- Copy the JDBC Connect JAR file (cdata.jdbc.connect.jar).
After copying the JDBC CData Connect JAR file, you will need to paste it into the Crystal Reports installation location and configure the connection to Connect AI.
- Find the installation directory for Crystal Reports, for example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java\lib
- Paste the JDBC Connect JAR file into the Crystal Reports installation directory.
- Go to the parent java folder. For example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java This folder should contain a CRConfig file.
👁 Locating the CRConfig file in the Crystal Reports installation directory.
- Open CRConfig in a text editor.
- Add the path to the JDBC CData Connect JAR file in the
- Log into Crystal Reports and start a blank report.
- In the Database Expert dialog, click Create New Connection.
- Select the JDBC data source and the tables you want to add. Click OK.
👁 Selecting the JDBC data source.
- In the Connection dialog, enter the Connection URL (e.g. jdbc:connect:AuthScheme=Basic;user=username;password=PAT;) and Database Classname (e.g. cdata.jdbc.connect.ConnectDriver).
👁 Configuring the connection.
- Click Finish. The Database Expert dialog displays all available connections.
👁 Browsing the available data from Connect AI.
You can now create reports with the connected data.
Get CData Connect AI
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Crystal Reports,
try CData Connect AI today!
