Automated Continuous Monday.com Replication to Apache Kafka



Use CData Sync for automated, continuous, customizable Monday.com replication to Apache Kafka.

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Monday.com data into your Apache Kafka instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.

Configure Apache Kafka as a Replication Destination

Using CData Sync, you can replicate Monday.com data to Kafka. To add a replication destination, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select Apache Kafka as a destination.
  3. Enter the necessary connection properties:

    • Bootstrap Servers - Enter the address of the Apache Kafka Bootstrap servers to which you want to connect.
    • Auth Scheme - Select the authentication scheme. Plain is the default setting. For this setting, specify your login credentials:
    • User - Enter the username that you use to authenticate to Apache Kafka.
    • Password - Enter the password that you use to authenticate to Apache Kafka.
    • Type Detection Scheme - Specify the detection-scheme type (None, RowScan, SchemaRegistry, or MessageOnly) that you want to use. The default type is None.
    • Use SSL - Specify whether you want to use the Secure Sockets Layer (SSL) protocol. The default value is False.
  4. Click Test Connection to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure the Monday.com Connection

You can configure a connection to Monday.com from the Connections tab. To add a connection to your Monday.com account, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select a source (Monday.com).
  3. Configure the connection properties.

    You can connect to Monday.com using either API Token authentication or OAuth authentication.

    Connecting with an API Token

    Connect to Monday.com by specifying the APIToken. Set the AuthScheme to Token and obtain the APIToken as follows:

    • API tokens for admin users
      1. Log in to your Monday.com account and click on your avatar in the bottom left corner.
      2. Select Admin.
      3. Select "API" on the left side of the Admin page.
      4. Click the "Copy" button to copy the user's API token.
    • API tokens for non-admin users
      1. Click on your profile picture in the bottom left of your screen.
      2. Select "Developers"
      3. Click "Developer" and then "My Access Tokens" at the top.
      4. Select "Show" next to the API token, where you'll be able to copy it.

    Connecting with OAuth Authentication

    Alternatively, you can establish a connection using OAuth (refer to the OAuth section of the Help documentation).

  4. Click Connect to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

Replicate Entire Tables

To replicate an entire table, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.

Customize Your Replication

You can use the Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to the replication.

Schedule Your Replication

In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals ranging from once every 10 minutes to once every month.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Monday.com data to Kafka.

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