We are proud to share our inclusion in the 2024 Gartner Magic Quadrant for Data Integration Tools. We believe this recognition reflects the differentiated business outcomes CData delivers to our customers.
Get the Report →Create Apps from Snowflake Data in Qlik Sense Cloud
Use CData Connect Cloud to connect to Snowflake Data and build apps from live Snowflake data in Qlik Sense Cloud.
Qlik Sense Cloud allows you to create and share data visualizations and interact with information in new ways. CData Connect Cloud creates a live connection to Snowflake. By pairing Qlik Sense Cloud with CData Connect Cloud, you get true cloud-to-cloud connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect Cloud from Qlik Sense Cloud and get instant, live access to your Snowflake data.
In this article, we walk through two connections:
- Connecting to Snowflake in Connect Cloud
- Connecting to Connect Cloud from Qlik Sense Cloud to create a model and build a simple dashboard
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 Qlik Cloud
Connectivity to Snowflake from Qlik Cloud is made possible through CData Connect Cloud. To work with Snowflake data from Qlik Cloud, we start by creating and configuring a Snowflake connection.
(Optional) Add a New Connect Cloud User
As needed, create Users to connect to Snowflake through Connect Cloud.
- Navigate to the Users page and click Invite Users
- Enter the new user's email address and click Send to invite the user
- You can review and edit users from the Users page
Add a Personal Access Token
If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication to the CData Connect Cloud OData service. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Connect to Snowflake from Connect Cloud
CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "Snowflake" from the Add Connection panel
-
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.
See the Getting Started guide in the CData driver documentation for more information.
- Click Create & Test
- Navigate to the Permissions tab in the Add Snowflake Connection page and update the User-based permissions.
With the connection to Snowflake configured, you are ready to connect to Snowflake data from Qlik Sense Cloud.
Create a Qlik Sense App from Snowflake Data
This section walks through adding Snowflake data to a Qlik Sense app for visualizations, analytics, reporting, and more.
Create a New App and Upload Data
- Log into your Qlik Sense instance and click the button to create a new app
- Name and configure the new app and click "Create"
- In the workspace, click to open the new app
- Click to add data from files and other sources
- Select the Microsoft SQL Server connector and set the configuration properties.
- Set Server to tds.cdata.com
- Set Port to 14333
- Set Database to the connection you created (e.g. Snowflake1)
- Set User name to the Connect Cloud user (e.g. [email protected])
- Set Password to the PAT for the above user
- Select an owner for the connection
- Select a Snowflake entity (Table) to view
- Click Next, configure the model, and load the data into Qlik Sense.
Generate Insights or Customize Your App
With the data loaded into Qlik Sense, you are ready to begin discovering insights. You can build custom visualizations, reports, and dashboards engineered to gain actionable insights into your Snowflake data.

More Information & Free Trial
Now, you have created a simple but powerful dashboard from live Snowflake data. For more information on creating OData feeds from Snowflake (and more than 100 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live Snowflake data in Qlik Sense Cloud.