Access Live Kafka Data in Google Sheets

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CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for Kafka data and gain access to live Kafka data from your Google Sheets.

Google Sheets is a free, web-based spreadsheet program. When paired with CData Connect Cloud, you can instantly access Kafka data from within Google Sheets for data analysis, collaborations, calculations, and more. This article shows how to connect to Kafka in your Connect Cloud instance and access live Kafka data in Google Sheets.

CData Connect Cloud provides a pure cloud-to-cloud interface for Kafka, allowing you to easily access live Kafka data in Google Sheets. Simply use the partner Connect Cloud Connector to generate a query (or write your own). 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 setup requires a CData Connect Cloud instance and the CData Connect Cloud Connector for Google Sheets. To get started, get a free trial of Connect Cloud and download the free Connect Cloud Google Sheets Connector.


Create a Virtual MySQL Database for Kafka Data

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 Sheets.

Access Live Kafka Data in Google Sheets

The steps below outline connecting to CData Connect Cloud from Google Sheets to access live Kafka data.

  1. Log into Google Sheets, create a new sheet (or open an existing one).
  2. Click Add-ons and click Get Add-ons (if you have already installed the Add-on, jump to step 5).
  3. Search for CData Connect Cloud Connector and select the Add-on.
  4. Authorize the Connector.
  5. Back in Google Sheets, click Add-ons and open the CData Connect Cloud Connector.
  6. Use your instance name (myinstance in myinstance.cdatacloud.net), username, and password to connect to your Connect Cloud instance.
  7. Click CREATE to access Kafka data through your Connect Cloud instance.
  8. Select a Database (e.g. ApacheKafka1) and click Next.
  9. Select a Table (e.g. SampleTable_1) and Fields (columns), add any sorting, filtering, and limits and click Execute.

SQL Access to Kafka Data from Cloud Applications

Now, you have a direct, cloud-to-cloud connection to live Kafka data from your Google Sheets workbook. You can add more data to your workbook for calculations, aggregations, collaboration, and more.

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