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Get the Report →Create Reports from PostgreSQL Data in Looker Studio
Use CData Connect Cloud to gain access to live PostgreSQL data and create custom reports in Looker Studio.
Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect Cloud, you gain immediate cloud-to-cloud access to PostgreSQL data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for PostgreSQL and generating reports from PostgreSQL data within Looker Studio.
CData Connect Cloud offers a seamless cloud-to-cloud interface tailored for PostgreSQL, making it straightforward to construct reports directly from live PostgreSQL data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect Cloud efficiently channels all supported query operations, including filters, JOINs, and more, directly to PostgreSQL. This leverages server-side processing to swiftly provide the requested PostgreSQL data.
This article requires a CData Connect Cloud instance and the CData Connect Cloud Connector for Looker Studio. Get more information on the CData Connect Cloud and sign up for a free trial at https://www.cdata.com/cloud.
Configure PostgreSQL Connectivity for Looker Studio
Connectivity to PostgreSQL from Looker Studio is made possible through CData Connect Cloud. To work with PostgreSQL data from Looker Studio, we start by creating and configuring a PostgreSQL connection.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "PostgreSQL" from the Add Connection panel
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Enter the necessary authentication properties to connect to PostgreSQL.
To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.
- Click Create & Test
- Navigate to the Permissions tab in the Add PostgreSQL Connection page and update the User-based permissions.
With the connection configured, you are ready to connect to PostgreSQL data from Looker Studio.
Visualize Live PostgreSQL Data from Looker Studio
The steps below outline connecting to CData Connect Cloud from Looker Studio to create a new PostgreSQL data source and build a simple visualization from the data.
- Log into Looker Studio, click data sources, create a new data source, and choose CData Connect Cloud Connector.
- Click Authorize and allow access to your Google account.
- Click Authorize to authenticate with your CData Connect Cloud instance
- In the CData Connect Cloud Connector in Looker Studio select a Connection (e.g. PostgreSQL1) and click Next
- Select a Table (e.g. Orders) or use a Custom Query and click Connect to continue
- If needed, modify columns, click Create Report, and add the data source to the report.
- Select a visualization style and add it to the report.
- Select Dimensions and Measures to customize your visualization.
Live Access to PostgreSQL Data from Cloud Applications
Now you have a direct, cloud-to-cloud connection to live PostgreSQL data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating PostgreSQL data.
Try CData Connect Cloud and get real-time data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.