Create Reports from Kafka Data in Google Data Studio

Ready to get started?

Learn more or sign up for a free trial:

CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for Kafka data and create custom reports in Google Data Studio.

Google Data Studio allows you to create branded reports with data visualizations to share with your clients. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to Kafka data for visualizations, dashboards, and more. This article shows how to create a virtual database for Kafka and build reports from Kafka data in Google Data Studio.

CData Connect Cloud provides a pure cloud-to-cloud interface for Kafka, allowing you to easily build reports from live Kafka data in Google Data Studio — without replicating the data. As you build visualizations, Google Data Studio generates queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported query operations (filters, JOINs, etc) directly to Kafka, leveraging server-side processing to quickly return Kafka data.

This article requires a CData Connect Cloud instance and the CData Connect Cloud Connector for Google Data Studio. Get more information on the CData Connect Cloud and sign up for a free trial at https://www.cdata.com/connect.


Connect to Kafka from Connect Cloud

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Log into Connect Cloud and click Databases.
  2. Select "Kafka" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Kafka.

    Set BootstrapServers and the Topic properties to specify the address of your Apache Kafka server, as well as the topic you would like to interact with.

    Authorization Mechanisms

    • SASL Plain: The User and Password properties should be specified. AuthScheme should be set to 'Plain'.
    • SASL SSL: The User and Password properties should be specified. AuthScheme should be set to 'Scram'. UseSSL should be set to true.
    • SSL: The SSLCert and SSLCertPassword properties should be specified. UseSSL should be set to true.
    • Kerberos: The User and Password properties should be specified. AuthScheme should be set to 'Kerberos'.

    You may be required to trust the server certificate. In such cases, specify the TrustStorePath and the TrustStorePassword if necessary.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Kafka data from Google Data Studio.

Visualize Live Kafka Data in Google Data Studio

The steps below outline connecting to CData Connect Cloud from Google Data Studio to create a new Kafka data source and build a simple visualization from the data.

  1. Log into Google Data Studio, click data sources, create a new data source, and choose CData Connect Cloud Connector.
  2. Authorize the Connector to connect to an external service (your Connect Cloud instance).
  3. Use your instance name (myinstance in myinstance.cdatacloud.net), username, and password to connect to your Connect Cloud instance.
    • Username: myinstance/username
    • Password: your Connect Cloud password
  4. Select a Database (e.g. ApacheKafka1) and click Next.
  5. Select a Table (e.g. SampleTable_1) and click Next.
  6. Click Connect.
  7. If needed, modify columns, click Create Report, and add the data source to the report.
  8. Select a visualization style and add it to the report.
  9. Select Dimensions and Measures to customize your visualization.

Optional: Connect with the MySQL Connector

If you need to work with data from a custom SQL query, you can use the MySQL Connector. Connect using the server information for your Connect Cloud instance (server address, port, username, and password).

SQL Access to Kafka Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Kafka data from your Google Data Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Kafka data.

Try CData Connect Cloud and get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.