Reports with CrateDB and Power BI Desktop

This integration document details how to create data-driven reports and dashboards using CrateDB and Power BI Desktop.


Power BI Desktop is a powerful business intelligence tool that provides a set of data analytics and visualizations. Using Power BI Desktop, users can create reports and dashboards from large datasets.

By using CrateDB as a data source from which Power BI Desktop can draw data, users can set up powerful data warehousing and business intelligence reports.

This can be done by installing the PostgreSQL ODBC driver, creating a DSN and connecting Power BI using the ODBC data source.


Set Up

For this implementation, we will be visualizing the data from the World Economic Outlook survey. In particular, we will use population figures, gender breakdowns, and age groups across different countries.


To install the PostgreSQL ODBC driver on Windows, head to the downloads section for MSI installers and download the latest version corresponding to your architecture. For example, if you are using 64-bit Windows, at the time of writing the correct installer would be

Within the zip archive is an MSI installer. Execute it and follow the instructions.


First, you need to create a table to hold the World Economic Outlook survey data:

CREATE TABLE IF NOT EXISTS "doc"."population_data" (
    "age_category" TEXT,
    "age_group" TEXT,
    "age_max" DOUBLE PRECISION,
    "country" TEXT,
    "country_id" INTEGER,
    "gender" TEXT,
    "population" DOUBLE PRECISION,
    "region_name" TEXT,
    "year" INTEGER

Once this table has been created, you can import the data. You can download the raw data and process it however you like. However, a preprocessed archive is also available that makes it easier to insert.

To insert the data into CrateDB:

COPY population_data
FROM 'file:///path/to/population_data_*.json.gz
WITH (compression='gzip')

| node                                   | uri                                       | success_count | error_count | errors |
| {"id": "...", "name": "Hoher Riffler"} | file:///path/to/population_data0_.json.gz |        310991 |           0 | {}     |
| {"id": "...", "name": "Hoher Riffler"} | file:///path/to/population_data1_.json.gz |        309975 |           0 | {}     |
| {"id": "...", "name": "Hoher Riffler"} | file:///path/to/population_data2_.json.gz |        309586 |           0 | {}     |
| {"id": "...", "name": "Hoher Riffler"} | file:///path/to/population_data3_.json.gz |        309980 |           0 | {}     |

Creating a DSN for CrateDB

First, verify that you have installed the PostgreSQL ODBC driver by searching for and opening the ODBC Data Sources application for your architecture:


Navigate to the drivers tab, where you should see the PostgreSQL ODBC drivers you have installed:


If this is correct, you can add a User DSN by navigating to the User DSN tab and hitting Add. From the drivers, select PostgreSQL Unicode(x64) if you are using a 64-bit Windows. Otherwise, select PostgreSQL Unicode(x32).


If you intend to use this connection in conjunction with an On-Premises Data Gateway as detailed in our CrateDB and Power BI integration document, then you should create this DSN as a System DSN, not a User DSN.


Set up the data source with the following parameters:



Data Source



The URL or IP of your CrateDB server.

User Name

The CrateDB user you wish to connect with.



If your CrateDB instance uses SSL, enable the SSL mode. If the CrateDB user you’re connecting with is password protected, add its password to the Password field.


You can click Test to verify that the DSN is configured correctly. Once this is done, click Save to save the DSN.

Connecting Power BI to CrateDB

Once you have created the DSN, open up Power BI and click Get Data from the menu ribbon. Select ODBC from the list of available data sources:


Select CrateDB from the DSN list and click OK:


Within the doc schema, you should see and be able to add the population_data table:


From here you can transform the data as you wish, or click Load to load the dataset.

Data Visualization

Once the dataset has been added, you can visualize some of it. For example, you can visualize the distribution of population by region.

First, select the Pie Chart from the visualizations tab. Then, drag the population field from the fields panel into the Values section in the visualizations tab. Finally, drag the region_name field from the fields panel into the Legend section of the visualizations tab.

The pie chart will be updated automatically, and will produce the following: