Using Google Looker Studio with PostgreSQL and Kondado

Using Google Looker Studio with PostgreSQL and Kondado

Most Data Analytics stacks comprise three stages: An ETL tool + a Data Warehouse to centralize data + a visualization or BI tool. Here we will show how to use Google Looker Studio as a BI tool, along with PostgreSQL as a Data Warehouse and Kondado as your ETL tool.

1. Registering Your Postgres as a Destination in Kondado: First, you need to login to Kondado and register your database as a destination to receive data from your tools. To register your Postgres as a destination, follow the step-by-step shown in our documentation.

2. Creating Your Data Sources: Data sources are the sources or tools from which you want to extract data to centralize in your data repository. To register your data sources in Kondado, visit our wiki and follow the respective step-by-step instructions.

3. Creating your first integration: Now that your data destination and data sources are registered, you can create your first integration by following the platform onboarding steps.

4.Entering Looker Studio: Log in to Looker Studio by accessing  https://datastudio.google.com/u/0/ .

Connecting Looker Studio to PostgreSQL:

  • In the top left corner, click on “Create” and choose the option “Data Source”:
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  • In the search bar, look for “PostgreSQL” and select the returned option:
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  • Click on “Authorize” to start the connection:
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  • Choose a Google account to use Looker Studio with Postgres.
     
  • In the “BASIC” option, fill in your Postgres database details and click on “Authenticate”. If your database is protected by a firewall, you need to give access to the IPs listed by Google on this page under “Notes”:
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  • Select the table you want to connect to Looker Studio (1), give a name to your data source (2), and then click on “Connect” (3):
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  • Done! Now your table will be connected to Looker Studio, where you can create reports, visualizations, or SQL queries.
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Use Looker Studio with PostgreSQL and Kondado

Register PostgreSQL as a Kondado destination, replicate your sources into it, and visualize the data in Looker Studio.

1
Register PostgreSQL as a destination in Kondado

Log in to Kondado and add your PostgreSQL database as a destination so it can receive data from your tools.

2
Add the sources you want to replicate

Register the data sources (CRM, ads, e-commerce, etc.) you want to centralize, following the per-source instructions in the Kondado wiki.

3
Create your first pipeline

Build a pipeline from a source to PostgreSQL and run it so data lands in your database at the frequency you choose.

4
Allow Looker Studio to reach PostgreSQL

If your database sits behind a firewall, whitelist the Google IP ranges listed in Looker Studio's PostgreSQL connector documentation.

5
Connect Looker Studio to PostgreSQL

In Looker Studio, create a new data source, choose PostgreSQL, enter host, port, database, and credentials, pick the table Kondado populated, and start building reports.

Frequently asked questions

What are the three main components of a typical data analytics stack?
A typical data analytics stack comprises three stages: an ETL tool (like Kondado), a Data Warehouse (such as PostgreSQL) to centralize data, and a visualization or BI tool (like Google Looker Studio).
How do I register PostgreSQL as a destination in Kondado?
First, log in to Kondado and register your database as a destination to receive data from your tools. Follow the step-by-step instructions shown in Kondado's documentation to complete the registration process.
What should I do if my PostgreSQL database is protected by a firewall when connecting to Looker Studio?
If your database is protected by a firewall, you need to give access to the IPs listed by Google on their documentation page under "Notes". This allows Looker Studio to authenticate and connect to your PostgreSQL instance securely.
Can I create reports and SQL queries after connecting Looker Studio to PostgreSQL?
Yes, once your table is connected to Looker Studio, you can create reports, visualizations, or SQL queries directly within the platform. You can also explore data-to-dashboards solutions for more advanced analytics workflows.
Where can I find step-by-step instructions for registering data sources in Kondado?
To register your data sources in Kondado, visit the Kondado wiki and follow the respective step-by-step instructions for each source or tool from which you want to extract data to centralize in your data repository.

Written by·Published 2023-11-08·Updated 2026-04-26